diff --git a/notebooks/Langchain_Full.ipynb b/notebooks/Langchain_Full.ipynb
index bd3f726..6b0c773 100644
--- a/notebooks/Langchain_Full.ipynb
+++ b/notebooks/Langchain_Full.ipynb
@@ -1952,11 +1952,11 @@
     "# 2. Create the OpenAI File\n",
     "\n",
     "import os\n",
-    "from openai import OpenAI\n",
+    "import openai\n",
     "\n",
     "openai.api_key = os.getenv(\"OPENAI_API_KEY\")\n",
     "\n",
-    "client = OpenAI()\n",
+    "client = openai.OpenAI()\n",
     "\n",
     "openai_file = client.files.create(\n",
     "  file=open(\"aql.jsonl\", \"rb\"),\n",
diff --git a/notebooks/example_output/Langchain_Full_output.ipynb b/notebooks/example_output/Langchain_Full_output.ipynb
index 96f5417..666ac4c 100644
--- a/notebooks/example_output/Langchain_Full_output.ipynb
+++ b/notebooks/example_output/Langchain_Full_output.ipynb
@@ -130,16 +130,16 @@
       "execution_count": 4,
       "id": "7",
       "metadata": {
-        "id": "7",
-        "outputId": "f7b19af5-2dee-4e65-f034-11adbf2d6b0e",
         "colab": {
           "base_uri": "https://localhost:8080/"
-        }
+        },
+        "id": "7",
+        "outputId": "f7b19af5-2dee-4e65-f034-11adbf2d6b0e"
       },
       "outputs": [
         {
-          "output_type": "stream",
           "name": "stderr",
+          "output_type": "stream",
           "text": [
             "/usr/local/lib/python3.10/dist-packages/langchain_core/_api/deprecation.py:117: LangChainDeprecationWarning: The class `langchain_community.llms.openai.OpenAI` was deprecated in langchain-community 0.0.10 and will be removed in 0.2.0. An updated version of the class exists in the langchain-openai package and should be used instead. To use it run `pip install -U langchain-openai` and import as `from langchain_openai import OpenAI`.\n",
             "  warn_deprecated(\n",
@@ -148,8 +148,8 @@
           ]
         },
         {
-          "output_type": "stream",
           "name": "stdout",
+          "output_type": "stream",
           "text": [
             "\n",
             "\n",
@@ -172,16 +172,16 @@
       "execution_count": 5,
       "id": "8",
       "metadata": {
-        "id": "8",
-        "outputId": "e1cc54aa-7883-4b04-9f89-80dfb62f1255",
         "colab": {
           "base_uri": "https://localhost:8080/"
-        }
+        },
+        "id": "8",
+        "outputId": "e1cc54aa-7883-4b04-9f89-80dfb62f1255"
       },
       "outputs": [
         {
-          "output_type": "stream",
           "name": "stdout",
+          "output_type": "stream",
           "text": [
             "\n",
             "ArangoDB is like a big box of toys that can store lots of different things, like your toys, your books, and your snacks. But it's not just a box, it's also a magic box that can help you find and organize your toys and books whenever you want. And the best part is, you can share your toys and books with your friends and they can share theirs with you too!\n"
@@ -208,16 +208,16 @@
       "execution_count": 6,
       "id": "9",
       "metadata": {
-        "id": "9",
-        "outputId": "0a7d96b9-404f-407b-dc85-bb8e04ac612f",
         "colab": {
           "base_uri": "https://localhost:8080/"
-        }
+        },
+        "id": "9",
+        "outputId": "0a7d96b9-404f-407b-dc85-bb8e04ac612f"
       },
       "outputs": [
         {
-          "output_type": "stream",
           "name": "stdout",
+          "output_type": "stream",
           "text": [
             "{'question': 'What is ArangoDB?', 'text': \"\\nArangoDB is like a big box of toys that can store lots of different things, like your toys, your books, and your snacks. But it's not just a box, it's also a magic box that can help you find and organize your toys and books whenever you want. And the best part is, you can share your toys and books with your friends and they can share theirs with you too!\"}\n"
           ]
@@ -240,17 +240,17 @@
       "execution_count": 7,
       "id": "10",
       "metadata": {
-        "id": "10",
-        "outputId": "04821297-f23b-4482-c50e-2836302828e3",
         "colab": {
           "base_uri": "https://localhost:8080/",
           "height": 469
-        }
+        },
+        "id": "10",
+        "outputId": "04821297-f23b-4482-c50e-2836302828e3"
       },
       "outputs": [
         {
-          "output_type": "stream",
           "name": "stdout",
+          "output_type": "stream",
           "text": [
             "\n",
             "\n",
@@ -280,17 +280,17 @@
           ]
         },
         {
-          "output_type": "execute_result",
           "data": {
-            "text/plain": [
-              "' No problem! ArangoDB was first released in 2012, making it about 9 years old. It was created by the company ArangoDB GmbH and is currently on version 3.7.11.'"
-            ],
             "application/vnd.google.colaboratory.intrinsic+json": {
               "type": "string"
-            }
+            },
+            "text/plain": [
+              "' No problem! ArangoDB was first released in 2012, making it about 9 years old. It was created by the company ArangoDB GmbH and is currently on version 3.7.11.'"
+            ]
           },
+          "execution_count": 7,
           "metadata": {},
-          "execution_count": 7
+          "output_type": "execute_result"
         }
       ],
       "source": [
@@ -311,24 +311,24 @@
       "execution_count": 8,
       "id": "11",
       "metadata": {
-        "id": "11",
-        "outputId": "384f9c8a-1c27-49cb-99dd-a16b30913a95",
         "colab": {
           "base_uri": "https://localhost:8080/"
-        }
+        },
+        "id": "11",
+        "outputId": "384f9c8a-1c27-49cb-99dd-a16b30913a95"
       },
       "outputs": [
         {
-          "output_type": "stream",
           "name": "stderr",
+          "output_type": "stream",
           "text": [
             "/usr/local/lib/python3.10/dist-packages/langchain_core/_api/deprecation.py:117: LangChainDeprecationWarning: The function `initialize_agent` was deprecated in LangChain 0.1.0 and will be removed in 0.2.0. Use Use new agent constructor methods like create_react_agent, create_json_agent, create_structured_chat_agent, etc. instead.\n",
             "  warn_deprecated(\n"
           ]
         },
         {
-          "output_type": "stream",
           "name": "stdout",
+          "output_type": "stream",
           "text": [
             "\n",
             "\n",
@@ -359,14 +359,14 @@
           ]
         },
         {
-          "output_type": "execute_result",
           "data": {
             "text/plain": [
               "{'input': 'How old is ArangoDB?', 'output': 'ArangoDB is 9 years old.'}"
             ]
           },
+          "execution_count": 8,
           "metadata": {},
-          "execution_count": 8
+          "output_type": "execute_result"
         }
       ],
       "source": [
@@ -390,22 +390,22 @@
       "execution_count": 9,
       "id": "12",
       "metadata": {
-        "id": "12",
-        "outputId": "5088fb20-f90b-480d-8381-1c8768a4e121",
         "colab": {
           "base_uri": "https://localhost:8080/"
-        }
+        },
+        "id": "12",
+        "outputId": "5088fb20-f90b-480d-8381-1c8768a4e121"
       },
       "outputs": [
         {
-          "output_type": "execute_result",
           "data": {
             "text/plain": [
               "1"
             ]
           },
+          "execution_count": 9,
           "metadata": {},
-          "execution_count": 9
+          "output_type": "execute_result"
         }
       ],
       "source": [
@@ -435,22 +435,22 @@
       "execution_count": 10,
       "id": "13",
       "metadata": {
-        "id": "13",
-        "outputId": "bcb2cf26-05ef-4163-9a8d-7373a6b36cdb",
         "colab": {
           "base_uri": "https://localhost:8080/"
-        }
+        },
+        "id": "13",
+        "outputId": "bcb2cf26-05ef-4163-9a8d-7373a6b36cdb"
       },
       "outputs": [
         {
-          "output_type": "execute_result",
           "data": {
             "text/plain": [
               "42"
             ]
           },
+          "execution_count": 10,
           "metadata": {},
-          "execution_count": 10
+          "output_type": "execute_result"
         }
       ],
       "source": [
@@ -474,30 +474,30 @@
       "execution_count": 11,
       "id": "14",
       "metadata": {
-        "id": "14",
-        "outputId": "79c50cd0-fc85-4e9f-89bd-a1bf5d7c40a0",
         "colab": {
           "base_uri": "https://localhost:8080/"
-        }
+        },
+        "id": "14",
+        "outputId": "79c50cd0-fc85-4e9f-89bd-a1bf5d7c40a0"
       },
       "outputs": [
         {
-          "output_type": "stream",
           "name": "stderr",
+          "output_type": "stream",
           "text": [
             "/usr/local/lib/python3.10/dist-packages/langchain_core/_api/deprecation.py:117: LangChainDeprecationWarning: The class `langchain_community.embeddings.openai.OpenAIEmbeddings` was deprecated in langchain-community 0.0.9 and will be removed in 0.2.0. An updated version of the class exists in the langchain-openai package and should be used instead. To use it run `pip install -U langchain-openai` and import as `from langchain_openai import OpenAIEmbeddings`.\n",
             "  warn_deprecated(\n"
           ]
         },
         {
-          "output_type": "execute_result",
           "data": {
             "text/plain": [
               "<langchain_community.vectorstores.chroma.Chroma at 0x7be7a4f4ae90>"
             ]
           },
+          "execution_count": 11,
           "metadata": {},
-          "execution_count": 11
+          "output_type": "execute_result"
         }
       ],
       "source": [
@@ -523,16 +523,16 @@
       "execution_count": 12,
       "id": "15",
       "metadata": {
-        "id": "15",
-        "outputId": "ceddb232-4021-4a4b-95fe-5056955434cf",
         "colab": {
           "base_uri": "https://localhost:8080/"
-        }
+        },
+        "id": "15",
+        "outputId": "ceddb232-4021-4a4b-95fe-5056955434cf"
       },
       "outputs": [
         {
-          "output_type": "stream",
           "name": "stderr",
+          "output_type": "stream",
           "text": [
             "/usr/local/lib/python3.10/dist-packages/langchain/chains/retrieval_qa/base.py:256: UserWarning: `VectorDBQA` is deprecated - please use `from langchain.chains import RetrievalQA`\n",
             "  warnings.warn(\n"
@@ -551,16 +551,16 @@
       "execution_count": 13,
       "id": "16",
       "metadata": {
-        "id": "16",
-        "outputId": "cb6e4cb9-de28-4663-b934-52d00ad40831",
         "colab": {
           "base_uri": "https://localhost:8080/"
-        }
+        },
+        "id": "16",
+        "outputId": "cb6e4cb9-de28-4663-b934-52d00ad40831"
       },
       "outputs": [
         {
-          "output_type": "stream",
           "name": "stdout",
+          "output_type": "stream",
           "text": [
             "{'query': \"TL;DR the president's message for me\", 'result': \" The president's message is that the State of the Union is strong because the American people are strong. We have overcome challenges and will continue to do so as one united nation. The president highlights the bravery and determination of the Ukrainian people and the strength of our democracy. He also mentions his optimism for the future of America and the need for unity to address issues such as the opioid epidemic and the protection of LGBTQ+ rights.\"}\n",
             "----------------------------------------------------------------------------------------------------\n",
@@ -655,16 +655,16 @@
       "execution_count": 16,
       "id": "22",
       "metadata": {
-        "id": "22",
-        "outputId": "391495cc-8e35-4f64-fe57-51531158091d",
         "colab": {
           "base_uri": "https://localhost:8080/"
-        }
+        },
+        "id": "22",
+        "outputId": "391495cc-8e35-4f64-fe57-51531158091d"
       },
       "outputs": [
         {
-          "output_type": "stream",
           "name": "stdout",
+          "output_type": "stream",
           "text": [
             "Log: requesting new credentials...\n",
             "Succcess: new credentials acquired\n",
@@ -694,22 +694,22 @@
       "execution_count": 17,
       "id": "23",
       "metadata": {
-        "id": "23",
-        "outputId": "c36637e8-d06e-4921-ca0f-be181df7fefa",
         "colab": {
           "base_uri": "https://localhost:8080/"
-        }
+        },
+        "id": "23",
+        "outputId": "c36637e8-d06e-4921-ca0f-be181df7fefa"
       },
       "outputs": [
         {
-          "output_type": "execute_result",
           "data": {
             "text/plain": [
               "<StandardDatabase TUT0ftdwtjk1k8r6ylosouevgm>"
             ]
           },
+          "execution_count": 17,
           "metadata": {},
-          "execution_count": 17
+          "output_type": "execute_result"
         }
       ],
       "source": [
@@ -764,8 +764,6 @@
       "execution_count": 18,
       "id": "27",
       "metadata": {
-        "id": "27",
-        "outputId": "47e568b4-bdcd-477b-df5d-c907891d439b",
         "colab": {
           "base_uri": "https://localhost:8080/",
           "height": 34,
@@ -781,200 +779,202 @@
             "316e150ba0c24fc5bdd4d447c994be7d",
             "4083fa5e3357412880cde9e48023539a"
           ]
-        }
+        },
+        "id": "27",
+        "outputId": "47e568b4-bdcd-477b-df5d-c907891d439b"
       },
       "outputs": [
         {
-          "output_type": "display_data",
           "data": {
-            "text/plain": [
-              "Output()"
-            ],
             "application/vnd.jupyter.widget-view+json": {
+              "model_id": "70ee96c8ef3c45aa98219904eb3b9fe3",
               "version_major": 2,
-              "version_minor": 0,
-              "model_id": "70ee96c8ef3c45aa98219904eb3b9fe3"
-            }
+              "version_minor": 0
+            },
+            "text/plain": [
+              "Output()"
+            ]
           },
-          "metadata": {}
+          "metadata": {},
+          "output_type": "display_data"
         },
         {
-          "output_type": "display_data",
           "data": {
-            "text/plain": [],
             "text/html": [
               "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
-            ]
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+            "text/plain": []
           },
-          "metadata": {}
+          "metadata": {},
+          "output_type": "display_data"
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           "data": {
-            "text/plain": [
-              "\n"
-            ],
             "text/html": [
               "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
               "</pre>\n"
+            ],
+            "text/plain": [
+              "\n"
             ]
           },
-          "metadata": {}
+          "metadata": {},
+          "output_type": "display_data"
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-          "output_type": "display_data",
           "data": {
-            "text/plain": [
-              "Output()"
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-              "model_id": "147a5bd97280413eb9faa3058cb97d07"
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+              "version_minor": 0
+            },
+            "text/plain": [
+              "Output()"
+            ]
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+          "metadata": {},
+          "output_type": "display_data"
         },
         {
-          "output_type": "display_data",
           "data": {
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               "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
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+            "text/plain": []
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+          "metadata": {},
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-              "\n"
-            ],
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               "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
               "</pre>\n"
+            ],
+            "text/plain": [
+              "\n"
             ]
           },
-          "metadata": {}
+          "metadata": {},
+          "output_type": "display_data"
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-            "text/plain": [
-              "Output()"
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-              "model_id": "9c719713b7f84b5bbc9c3b93ae018025"
-            }
+              "version_minor": 0
+            },
+            "text/plain": [
+              "Output()"
+            ]
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+          "metadata": {},
+          "output_type": "display_data"
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               "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
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+            ],
+            "text/plain": []
           },
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+          "metadata": {},
+          "output_type": "display_data"
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-            "text/plain": [
-              "\n"
-            ],
             "text/html": [
               "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
               "</pre>\n"
+            ],
+            "text/plain": [
+              "\n"
             ]
           },
-          "metadata": {}
+          "metadata": {},
+          "output_type": "display_data"
         },
         {
-          "output_type": "stream",
           "name": "stdout",
+          "output_type": "stream",
           "text": [
             "Initializing collection 'ChildOf'\n"
           ]
         },
         {
-          "output_type": "display_data",
           "data": {
-            "text/plain": [
-              "Output()"
-            ],
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+            },
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+              "Output()"
+            ]
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-            ]
+            ],
+            "text/plain": []
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+          "metadata": {},
+          "output_type": "display_data"
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-              "\n"
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               "</pre>\n"
+            ],
+            "text/plain": [
+              "\n"
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-          "metadata": {}
+          "metadata": {},
+          "output_type": "display_data"
         },
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-          "output_type": "display_data",
           "data": {
-            "text/plain": [
-              "Output()"
-            ],
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+              "model_id": "316e150ba0c24fc5bdd4d447c994be7d",
               "version_major": 2,
-              "version_minor": 0,
-              "model_id": "316e150ba0c24fc5bdd4d447c994be7d"
-            }
+              "version_minor": 0
+            },
+            "text/plain": [
+              "Output()"
+            ]
           },
-          "metadata": {}
+          "metadata": {},
+          "output_type": "display_data"
         },
         {
-          "output_type": "display_data",
           "data": {
-            "text/plain": [],
             "text/html": [
               "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
-            ]
+            ],
+            "text/plain": []
           },
-          "metadata": {}
+          "metadata": {},
+          "output_type": "display_data"
         },
         {
-          "output_type": "display_data",
           "data": {
-            "text/plain": [
-              "\n"
-            ],
             "text/html": [
               "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
               "</pre>\n"
+            ],
+            "text/plain": [
+              "\n"
             ]
           },
-          "metadata": {}
+          "metadata": {},
+          "output_type": "display_data"
         }
       ],
       "source": [
@@ -1014,8 +1014,6 @@
       "execution_count": 19,
       "id": "30",
       "metadata": {
-        "id": "30",
-        "outputId": "f1d0cd06-b861-4e4c-d15f-d25465119aaf",
         "colab": {
           "base_uri": "https://localhost:8080/",
           "height": 260,
@@ -1079,1179 +1077,1181 @@
             "5f528fd15f944d44acf9df355dd3f585",
             "e19611b67f1248e7935fb7943fc79dc2"
           ]
-        }
+        },
+        "id": "30",
+        "outputId": "f1d0cd06-b861-4e4c-d15f-d25465119aaf"
       },
       "outputs": [
         {
-          "output_type": "display_data",
           "data": {
-            "text/plain": [
-              "Output()"
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-          "output_type": "stream",
           "name": "stdout",
+          "output_type": "stream",
           "text": [
             "Initializing collection 'type'\n"
           ]
         },
         {
-          "output_type": "display_data",
           "data": {
-            "text/plain": [],
             "text/html": [
               "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
-            ]
+            ],
+            "text/plain": []
           },
-          "metadata": {}
+          "metadata": {},
+          "output_type": "display_data"
         },
         {
-          "output_type": "display_data",
           "data": {
-            "text/plain": [
-              "\n"
-            ],
             "text/html": [
               "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
               "</pre>\n"
+            ],
+            "text/plain": [
+              "\n"
             ]
           },
-          "metadata": {}
+          "metadata": {},
+          "output_type": "display_data"
         },
         {
-          "output_type": "display_data",
           "data": {
-            "text/plain": [
-              "Output()"
-            ],
             "application/vnd.jupyter.widget-view+json": {
+              "model_id": "5f528fd15f944d44acf9df355dd3f585",
               "version_major": 2,
-              "version_minor": 0,
-              "model_id": "5f528fd15f944d44acf9df355dd3f585"
-            }
+              "version_minor": 0
+            },
+            "text/plain": [
+              "Output()"
+            ]
           },
-          "metadata": {}
+          "metadata": {},
+          "output_type": "display_data"
         },
         {
-          "output_type": "display_data",
           "data": {
-            "text/plain": [],
             "text/html": [
               "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
-            ]
+            ],
+            "text/plain": []
           },
-          "metadata": {}
+          "metadata": {},
+          "output_type": "display_data"
         },
         {
-          "output_type": "display_data",
           "data": {
-            "text/plain": [
-              "\n"
-            ],
             "text/html": [
               "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
               "</pre>\n"
+            ],
+            "text/plain": [
+              "\n"
             ]
           },
-          "metadata": {}
+          "metadata": {},
+          "output_type": "display_data"
         }
       ],
       "source": [
@@ -2278,16 +2278,16 @@
       "execution_count": 20,
       "id": "32",
       "metadata": {
-        "id": "32",
-        "outputId": "96dd371b-cb0a-4e38-f429-dc535b93dbf9",
         "colab": {
           "base_uri": "https://localhost:8080/"
-        }
+        },
+        "id": "32",
+        "outputId": "96dd371b-cb0a-4e38-f429-dc535b93dbf9"
       },
       "outputs": [
         {
-          "output_type": "stream",
           "name": "stdout",
+          "output_type": "stream",
           "text": [
             "{\n",
             "    \"Graph Schema\": [\n",
@@ -2949,16 +2949,16 @@
       "execution_count": 21,
       "id": "33",
       "metadata": {
-        "id": "33",
-        "outputId": "d3fb20f9-b38b-4451-b999-5a5198b079d6",
         "colab": {
           "base_uri": "https://localhost:8080/"
-        }
+        },
+        "id": "33",
+        "outputId": "d3fb20f9-b38b-4451-b999-5a5198b079d6"
       },
       "outputs": [
         {
-          "output_type": "stream",
           "name": "stderr",
+          "output_type": "stream",
           "text": [
             "/usr/local/lib/python3.10/dist-packages/langchain_core/_api/deprecation.py:117: LangChainDeprecationWarning: The class `langchain_community.chat_models.openai.ChatOpenAI` was deprecated in langchain-community 0.0.10 and will be removed in 0.2.0. An updated version of the class exists in the langchain-openai package and should be used instead. To use it run `pip install -U langchain-openai` and import as `from langchain_openai import ChatOpenAI`.\n",
             "  warn_deprecated(\n"
@@ -3018,16 +3018,16 @@
       "execution_count": 23,
       "id": "37",
       "metadata": {
-        "id": "37",
-        "outputId": "5970c32a-0cb8-4626-b296-bf0caaddff99",
         "colab": {
           "base_uri": "https://localhost:8080/"
-        }
+        },
+        "id": "37",
+        "outputId": "5970c32a-0cb8-4626-b296-bf0caaddff99"
       },
       "outputs": [
         {
-          "output_type": "stream",
           "name": "stdout",
+          "output_type": "stream",
           "text": [
             "\n",
             "\n",
@@ -3046,15 +3046,15 @@
           ]
         },
         {
-          "output_type": "execute_result",
           "data": {
             "text/plain": [
               "{'query': 'Who are the 2 youngest characters?',\n",
               " 'result': 'The two youngest characters are Bran Stark, who is 10 years old, and Arya Stark, who is 11 years old.'}"
             ]
           },
+          "execution_count": 23,
           "metadata": {},
-          "execution_count": 23
+          "output_type": "execute_result"
         }
       ],
       "source": [
@@ -3066,16 +3066,16 @@
       "execution_count": 24,
       "id": "38",
       "metadata": {
-        "id": "38",
-        "outputId": "53ad1ac2-28d0-4d3f-f6d2-1e550063a2d1",
         "colab": {
           "base_uri": "https://localhost:8080/"
-        }
+        },
+        "id": "38",
+        "outputId": "53ad1ac2-28d0-4d3f-f6d2-1e550063a2d1"
       },
       "outputs": [
         {
-          "output_type": "stream",
           "name": "stdout",
+          "output_type": "stream",
           "text": [
             "\n",
             "\n",
@@ -3093,15 +3093,15 @@
           ]
         },
         {
-          "output_type": "execute_result",
           "data": {
             "text/plain": [
               "{'query': 'How are Bran Stark and Arya Stark related?',\n",
               " 'result': 'Bran Stark and Arya Stark are related as siblings. They both are the children of Ned Stark and Catelyn Stark.'}"
             ]
           },
+          "execution_count": 24,
           "metadata": {},
-          "execution_count": 24
+          "output_type": "execute_result"
         }
       ],
       "source": [
@@ -3113,16 +3113,16 @@
       "execution_count": 25,
       "id": "39",
       "metadata": {
-        "id": "39",
-        "outputId": "64bea922-404c-4372-a941-8d321d16e837",
         "colab": {
           "base_uri": "https://localhost:8080/"
-        }
+        },
+        "id": "39",
+        "outputId": "64bea922-404c-4372-a941-8d321d16e837"
       },
       "outputs": [
         {
-          "output_type": "stream",
           "name": "stdout",
+          "output_type": "stream",
           "text": [
             "\n",
             "\n",
@@ -3139,15 +3139,15 @@
           ]
         },
         {
-          "output_type": "execute_result",
           "data": {
             "text/plain": [
               "{'query': 'Who are Bran Stark’s grandparents?',\n",
               " 'result': \"Bran Stark's grandparents are Lyarra Stark and Rickard Stark.\"}"
             ]
           },
+          "execution_count": 25,
           "metadata": {},
-          "execution_count": 25
+          "output_type": "execute_result"
         }
       ],
       "source": [
@@ -3159,16 +3159,16 @@
       "execution_count": 26,
       "id": "40",
       "metadata": {
-        "id": "40",
-        "outputId": "2e7bea00-1b20-4c12-b36c-fe901e5d4a48",
         "colab": {
           "base_uri": "https://localhost:8080/"
-        }
+        },
+        "id": "40",
+        "outputId": "2e7bea00-1b20-4c12-b36c-fe901e5d4a48"
       },
       "outputs": [
         {
-          "output_type": "stream",
           "name": "stdout",
+          "output_type": "stream",
           "text": [
             "\n",
             "\n",
@@ -3186,15 +3186,15 @@
           ]
         },
         {
-          "output_type": "execute_result",
           "data": {
             "text/plain": [
               "{'query': 'Fetch me the character count for each family',\n",
               " 'result': 'The count of characters for each family in the database is as follows: There is 1 character from the Baratheon family, 4 characters from the Lannister family, and 8 characters from the Stark family.'}"
             ]
           },
+          "execution_count": 26,
           "metadata": {},
-          "execution_count": 26
+          "output_type": "execute_result"
         }
       ],
       "source": [
@@ -3206,16 +3206,16 @@
       "execution_count": 27,
       "id": "41",
       "metadata": {
-        "id": "41",
-        "outputId": "ccf60d29-9642-423e-caf2-6d4413ea8042",
         "colab": {
           "base_uri": "https://localhost:8080/"
-        }
+        },
+        "id": "41",
+        "outputId": "ccf60d29-9642-423e-caf2-6d4413ea8042"
       },
       "outputs": [
         {
-          "output_type": "stream",
           "name": "stdout",
+          "output_type": "stream",
           "text": [
             "\n",
             "\n",
@@ -3235,15 +3235,15 @@
           ]
         },
         {
-          "output_type": "execute_result",
           "data": {
             "text/plain": [
               "{'query': 'What is the age difference between Rickard Stark and Arya Stark?',\n",
               " 'result': 'The age difference between Rickard Stark and Arya Stark is 49 years.'}"
             ]
           },
+          "execution_count": 27,
           "metadata": {},
-          "execution_count": 27
+          "output_type": "execute_result"
         }
       ],
       "source": [
@@ -3255,16 +3255,16 @@
       "execution_count": 28,
       "id": "42",
       "metadata": {
-        "id": "42",
-        "outputId": "d5459311-3406-4933-b8da-e87822d3d7fd",
         "colab": {
           "base_uri": "https://localhost:8080/"
-        }
+        },
+        "id": "42",
+        "outputId": "d5459311-3406-4933-b8da-e87822d3d7fd"
       },
       "outputs": [
         {
-          "output_type": "stream",
           "name": "stdout",
+          "output_type": "stream",
           "text": [
             "\n",
             "\n",
@@ -3282,15 +3282,15 @@
           ]
         },
         {
-          "output_type": "execute_result",
           "data": {
             "text/plain": [
               "{'query': 'Wie alt ist Rickard Stark?',\n",
               " 'result': 'Rickard Stark was 60 years old.'}"
             ]
           },
+          "execution_count": 28,
           "metadata": {},
-          "execution_count": 28
+          "output_type": "execute_result"
         }
       ],
       "source": [
@@ -3302,16 +3302,16 @@
       "execution_count": 95,
       "id": "43",
       "metadata": {
-        "id": "43",
-        "outputId": "2b87b1b7-9a12-445b-f14a-9c6b941b1a0e",
         "colab": {
           "base_uri": "https://localhost:8080/"
-        }
+        },
+        "id": "43",
+        "outputId": "2b87b1b7-9a12-445b-f14a-9c6b941b1a0e"
       },
       "outputs": [
         {
-          "output_type": "stream",
           "name": "stdout",
+          "output_type": "stream",
           "text": [
             "\n",
             "\n",
@@ -3331,7 +3331,6 @@
           ]
         },
         {
-          "output_type": "execute_result",
           "data": {
             "text/plain": [
               "{'query': 'Fetch me the average age of all Stark characters',\n",
@@ -3340,8 +3339,9 @@
               " 'aql_result': [31.375]}"
             ]
           },
+          "execution_count": 95,
           "metadata": {},
-          "execution_count": 95
+          "output_type": "execute_result"
         }
       ],
       "source": [
@@ -3353,16 +3353,16 @@
       "execution_count": 30,
       "id": "44",
       "metadata": {
-        "id": "44",
-        "outputId": "08f7e236-a9e3-4a0d-ddf8-38f648a4a66d",
         "colab": {
           "base_uri": "https://localhost:8080/"
-        }
+        },
+        "id": "44",
+        "outputId": "08f7e236-a9e3-4a0d-ddf8-38f648a4a66d"
       },
       "outputs": [
         {
-          "output_type": "stream",
           "name": "stdout",
+          "output_type": "stream",
           "text": [
             "\n",
             "\n",
@@ -3380,15 +3380,15 @@
           ]
         },
         {
-          "output_type": "execute_result",
           "data": {
             "text/plain": [
               "{'query': 'Does Bran Stark have a dead parent?',\n",
               " 'result': 'Yes, Bran Stark has a dead parent. His mother, Catelyn Stark, is deceased.'}"
             ]
           },
+          "execution_count": 30,
           "metadata": {},
-          "execution_count": 30
+          "output_type": "execute_result"
         }
       ],
       "source": [
@@ -3400,16 +3400,16 @@
       "execution_count": 31,
       "id": "45",
       "metadata": {
-        "id": "45",
-        "outputId": "2c1339cb-6d48-4bd1-bd9b-18e9d8343cf1",
         "colab": {
           "base_uri": "https://localhost:8080/"
-        }
+        },
+        "id": "45",
+        "outputId": "2c1339cb-6d48-4bd1-bd9b-18e9d8343cf1"
       },
       "outputs": [
         {
-          "output_type": "stream",
           "name": "stdout",
+          "output_type": "stream",
           "text": [
             "\n",
             "\n",
@@ -3425,15 +3425,15 @@
           ]
         },
         {
-          "output_type": "execute_result",
           "data": {
             "text/plain": [
               "{'query': 'Add Jon Snow, 31, a male character. Use overwrite.',\n",
               " 'result': 'The character Jon Snow, a 31-year-old male, has been successfully added to the database. If there was a previous entry for Jon Snow, it has been overwritten with the new information.'}"
             ]
           },
+          "execution_count": 31,
           "metadata": {},
-          "execution_count": 31
+          "output_type": "execute_result"
         }
       ],
       "source": [
@@ -3445,16 +3445,16 @@
       "execution_count": 32,
       "id": "46",
       "metadata": {
-        "id": "46",
-        "outputId": "89f725c1-1728-4d6f-c2b2-baf760638b0b",
         "colab": {
           "base_uri": "https://localhost:8080/"
-        }
+        },
+        "id": "46",
+        "outputId": "89f725c1-1728-4d6f-c2b2-baf760638b0b"
       },
       "outputs": [
         {
-          "output_type": "stream",
           "name": "stdout",
+          "output_type": "stream",
           "text": [
             "\n",
             "\n",
@@ -3473,15 +3473,15 @@
           ]
         },
         {
-          "output_type": "execute_result",
           "data": {
             "text/plain": [
               "{'query': 'Create a ChildOf edge from Jon Snow to Ned Stark.',\n",
               " 'result': 'A relationship has been established in the database indicating that Jon Snow is a child of Ned Stark.'}"
             ]
           },
+          "execution_count": 32,
           "metadata": {},
-          "execution_count": 32
+          "output_type": "execute_result"
         }
       ],
       "source": [
@@ -3493,16 +3493,16 @@
       "execution_count": 33,
       "id": "47",
       "metadata": {
-        "id": "47",
-        "outputId": "0b404dc7-98b9-4308-9263-7f130e7aef90",
         "colab": {
           "base_uri": "https://localhost:8080/"
-        }
+        },
+        "id": "47",
+        "outputId": "0b404dc7-98b9-4308-9263-7f130e7aef90"
       },
       "outputs": [
         {
-          "output_type": "stream",
           "name": "stdout",
+          "output_type": "stream",
           "text": [
             "\n",
             "\n",
@@ -3519,15 +3519,15 @@
           ]
         },
         {
-          "output_type": "execute_result",
           "data": {
             "text/plain": [
               "{'query': 'Who is related to Ned Stark?',\n",
               " 'result': \"Ned Stark is related to several characters. His children are Jon Snow, Arya Stark, Sansa Stark, Robb Stark, and Bran Stark. Jon Snow is 31 years old and is alive. Arya Stark is 11 years old and is also alive. Sansa Stark is 13 years old and is alive. Robb Stark was 16 years old but is now deceased. Bran Stark is 10 years old and is alive. Ned Stark's parents are Lyarra Stark and Rickard Stark. Lyarra Stark was 60 years old but is now deceased. Rickard Stark was also 60 years old but is now deceased.\"}"
             ]
           },
+          "execution_count": 33,
           "metadata": {},
-          "execution_count": 33
+          "output_type": "execute_result"
         }
       ],
       "source": [
@@ -3539,16 +3539,16 @@
       "execution_count": 34,
       "id": "48",
       "metadata": {
-        "id": "48",
-        "outputId": "f68f7210-d0de-4521-e9ed-efb8c77a27aa",
         "colab": {
           "base_uri": "https://localhost:8080/"
-        }
+        },
+        "id": "48",
+        "outputId": "f68f7210-d0de-4521-e9ed-efb8c77a27aa"
       },
       "outputs": [
         {
-          "output_type": "stream",
           "name": "stdout",
+          "output_type": "stream",
           "text": [
             "\n",
             "\n",
@@ -3565,15 +3565,15 @@
           ]
         },
         {
-          "output_type": "execute_result",
           "data": {
             "text/plain": [
               "{'query': 'What can you tell me about the characters?',\n",
               " 'result': 'The database contains information about several characters. Here are some of them:\\n\\n1. Rickard Stark: He is a male character who is not alive. He was 60 years old.\\n2. Lyarra Stark: She is a female character who is not alive. She was 60 years old.\\n3. Ned Stark: He is a male character who is alive. He is 41 years old.\\n4. Catelyn Stark: She is a female character who is not alive. She was 40 years old.\\n5. Arya Stark: She is a female character who is alive. She is 11 years old.\\n6. Bran Stark: He is a male character who is alive. He is 10 years old.\\n7. Robb Stark: He is a male character who is not alive. He was 16 years old.\\n8. Sansa Stark: She is a female character who is alive. She is 13 years old.\\n9. Tywin Lannister: He is a male character who is not alive. He was 67 years old.\\n10. Jaime Lannister: He is a male character who is alive. He is 36 years old.'}"
             ]
           },
+          "execution_count": 34,
           "metadata": {},
-          "execution_count": 34
+          "output_type": "execute_result"
         }
       ],
       "source": [
@@ -3585,16 +3585,16 @@
       "execution_count": 35,
       "id": "49",
       "metadata": {
-        "id": "49",
-        "outputId": "6905eb13-c5e9-4534-c595-599beeb0a6a1",
         "colab": {
           "base_uri": "https://localhost:8080/"
-        }
+        },
+        "id": "49",
+        "outputId": "6905eb13-c5e9-4534-c595-599beeb0a6a1"
       },
       "outputs": [
         {
-          "output_type": "stream",
           "name": "stdout",
+          "output_type": "stream",
           "text": [
             "\n",
             "\n",
@@ -3611,15 +3611,15 @@
           ]
         },
         {
-          "output_type": "execute_result",
           "data": {
             "text/plain": [
               "{'query': 'Use the shortest path algorithm to go from Bran Stark to Rickard Stark',\n",
               " 'result': 'The shortest path from Bran Stark to Rickard Stark in the Game of Thrones graph goes through Ned Stark. Bran Stark, who is alive and 10 years old, is the son of Ned Stark, who is also alive and 41 years old. Ned Stark is the son of Rickard Stark, who is not alive and was 60 years old.'}"
             ]
           },
+          "execution_count": 35,
           "metadata": {},
-          "execution_count": 35
+          "output_type": "execute_result"
         }
       ],
       "source": [
@@ -3631,16 +3631,16 @@
       "execution_count": 36,
       "id": "50",
       "metadata": {
-        "id": "50",
-        "outputId": "1372b2d7-03a1-4b69-c401-6be33b24bb6b",
         "colab": {
           "base_uri": "https://localhost:8080/"
-        }
+        },
+        "id": "50",
+        "outputId": "1372b2d7-03a1-4b69-c401-6be33b24bb6b"
       },
       "outputs": [
         {
-          "output_type": "stream",
           "name": "stdout",
+          "output_type": "stream",
           "text": [
             "\n",
             "\n",
@@ -3657,15 +3657,15 @@
           ]
         },
         {
-          "output_type": "execute_result",
           "data": {
             "text/plain": [
               "{'query': 'What is the family tree of Joffrey Baratheon?',\n",
               " 'result': \"Joffrey Baratheon's family tree includes his parents Jaime Lannister and Cersei Lannister. Jaime Lannister is alive and 36 years old. Cersei Lannister is also alive and 36 years old. His grandfather, Tywin Lannister, appears twice in the family tree. Tywin Lannister is not alive and was 67 years old.\"}"
             ]
           },
+          "execution_count": 36,
           "metadata": {},
-          "execution_count": 36
+          "output_type": "execute_result"
         }
       ],
       "source": [
@@ -3677,16 +3677,16 @@
       "execution_count": 92,
       "id": "51",
       "metadata": {
-        "id": "51",
-        "outputId": "667d1fb7-e2e8-438a-bbe4-766985126326",
         "colab": {
           "base_uri": "https://localhost:8080/"
-        }
+        },
+        "id": "51",
+        "outputId": "667d1fb7-e2e8-438a-bbe4-766985126326"
       },
       "outputs": [
         {
-          "output_type": "stream",
           "name": "stdout",
+          "output_type": "stream",
           "text": [
             "\n",
             "\n",
@@ -3704,7 +3704,6 @@
           ]
         },
         {
-          "output_type": "execute_result",
           "data": {
             "text/plain": [
               "{'query': 'Is there a relationship between Bran Stark and Rickard Stark?',\n",
@@ -3717,8 +3716,9 @@
               "   '_rev': '_hg5hliC--G'}]}"
             ]
           },
+          "execution_count": 92,
           "metadata": {},
-          "execution_count": 92
+          "output_type": "execute_result"
         }
       ],
       "source": [
@@ -3730,16 +3730,16 @@
       "execution_count": 38,
       "id": "52",
       "metadata": {
-        "id": "52",
-        "outputId": "0220a5e0-c26d-467d-ccd3-e70897cd2d06",
         "colab": {
           "base_uri": "https://localhost:8080/"
-        }
+        },
+        "id": "52",
+        "outputId": "0220a5e0-c26d-467d-ccd3-e70897cd2d06"
       },
       "outputs": [
         {
-          "output_type": "stream",
           "name": "stdout",
+          "output_type": "stream",
           "text": [
             "\n",
             "\n",
@@ -3757,15 +3757,15 @@
           ]
         },
         {
-          "output_type": "execute_result",
           "data": {
             "text/plain": [
               "{'query': 'Are Arya Stark and Ned Stark related?',\n",
               " 'result': 'Yes, Arya Stark and Ned Stark are related. Ned Stark, who is alive and 41 years old, is a relative of Arya Stark.'}"
             ]
           },
+          "execution_count": 38,
           "metadata": {},
-          "execution_count": 38
+          "output_type": "execute_result"
         }
       ],
       "source": [
@@ -3777,16 +3777,16 @@
       "execution_count": 39,
       "id": "53",
       "metadata": {
-        "id": "53",
-        "outputId": "3661b581-4a60-4e30-dcd9-8cfad7307d45",
         "colab": {
           "base_uri": "https://localhost:8080/"
-        }
+        },
+        "id": "53",
+        "outputId": "3661b581-4a60-4e30-dcd9-8cfad7307d45"
       },
       "outputs": [
         {
-          "output_type": "stream",
           "name": "stdout",
+          "output_type": "stream",
           "text": [
             "\n",
             "\n",
@@ -3804,14 +3804,14 @@
           ]
         },
         {
-          "output_type": "execute_result",
           "data": {
             "text/plain": [
               "{'query': 'Is Ned Stark alive?', 'result': 'Yes, Ned Stark is alive.'}"
             ]
           },
+          "execution_count": 39,
           "metadata": {},
-          "execution_count": 39
+          "output_type": "execute_result"
         }
       ],
       "source": [
@@ -3823,16 +3823,16 @@
       "execution_count": 40,
       "id": "54",
       "metadata": {
-        "id": "54",
-        "outputId": "883495ee-938e-4c2e-e84f-625a975d25df",
         "colab": {
           "base_uri": "https://localhost:8080/"
-        }
+        },
+        "id": "54",
+        "outputId": "883495ee-938e-4c2e-e84f-625a975d25df"
       },
       "outputs": [
         {
-          "output_type": "stream",
           "name": "stdout",
+          "output_type": "stream",
           "text": [
             "\n",
             "\n",
@@ -3848,15 +3848,15 @@
           ]
         },
         {
-          "output_type": "execute_result",
           "data": {
             "text/plain": [
               "{'query': 'Ned Stark has died. Update the data',\n",
               " 'result': 'The data has been updated. Ned Stark is now marked as deceased in the database.'}"
             ]
           },
+          "execution_count": 40,
           "metadata": {},
-          "execution_count": 40
+          "output_type": "execute_result"
         }
       ],
       "source": [
@@ -3868,16 +3868,16 @@
       "execution_count": 41,
       "id": "55",
       "metadata": {
-        "id": "55",
-        "outputId": "24d0c699-1d55-4825-ba82-117230a44e91",
         "colab": {
           "base_uri": "https://localhost:8080/"
-        }
+        },
+        "id": "55",
+        "outputId": "24d0c699-1d55-4825-ba82-117230a44e91"
       },
       "outputs": [
         {
-          "output_type": "stream",
           "name": "stdout",
+          "output_type": "stream",
           "text": [
             "\n",
             "\n",
@@ -3895,15 +3895,15 @@
           ]
         },
         {
-          "output_type": "execute_result",
           "data": {
             "text/plain": [
               "{'query': 'How many characters are alive? How many characters are dead?',\n",
               " 'result': 'There are 7 characters who are alive and 7 characters who are dead.'}"
             ]
           },
+          "execution_count": 41,
           "metadata": {},
-          "execution_count": 41
+          "output_type": "execute_result"
         }
       ],
       "source": [
@@ -3915,16 +3915,16 @@
       "execution_count": 42,
       "id": "56",
       "metadata": {
-        "id": "56",
-        "outputId": "9f519a8d-3dec-4745-9105-80fbc3788d66",
         "colab": {
           "base_uri": "https://localhost:8080/"
-        }
+        },
+        "id": "56",
+        "outputId": "9f519a8d-3dec-4745-9105-80fbc3788d66"
       },
       "outputs": [
         {
-          "output_type": "stream",
           "name": "stdout",
+          "output_type": "stream",
           "text": [
             "\n",
             "\n",
@@ -3943,15 +3943,15 @@
           ]
         },
         {
-          "output_type": "execute_result",
           "data": {
             "text/plain": [
               "{'query': 'Is Arya Stark now an orphan?',\n",
               " 'result': 'Yes, Arya Stark is now an orphan. Both of her parents are deceased.'}"
             ]
           },
+          "execution_count": 42,
           "metadata": {},
-          "execution_count": 42
+          "output_type": "execute_result"
         }
       ],
       "source": [
@@ -3987,16 +3987,16 @@
       "execution_count": 44,
       "id": "59",
       "metadata": {
-        "id": "59",
-        "outputId": "2c397c3e-05f7-4b30-dee0-da9cebcad535",
         "colab": {
           "base_uri": "https://localhost:8080/"
-        }
+        },
+        "id": "59",
+        "outputId": "2c397c3e-05f7-4b30-dee0-da9cebcad535"
       },
       "outputs": [
         {
-          "output_type": "stream",
           "name": "stdout",
+          "output_type": "stream",
           "text": [
             "\n",
             "\n",
@@ -4015,15 +4015,15 @@
           ]
         },
         {
-          "output_type": "execute_result",
           "data": {
             "text/plain": [
               "{'query': 'Fetch me 3 events that happened in December 2019',\n",
               " 'result': \"Here are 3 events that happened in December 2019:\\n\\n1. On December 1, 2019, UGTA members and workers marched in Algiers against foreign intervention and in favor of the army and the scheduled elections. The size of the protest was in the hundreds. There were no reported fatalities.\\n\\n2. On December 2, 2019, workers protested against the company, Sour El-Ghozlane in Bouira for not distributing salaries in over 4 months. The size of the protest was reported to be 260. There were no reported fatalities.\\n\\n3. On December 2, 2019, citizens protested in Jijel during a presidential candidate's speech against the elections. The size of the protest was not reported. There were no reported fatalities.\"}"
             ]
           },
+          "execution_count": 44,
           "metadata": {},
-          "execution_count": 44
+          "output_type": "execute_result"
         }
       ],
       "source": [
@@ -4035,16 +4035,16 @@
       "execution_count": 45,
       "id": "60",
       "metadata": {
-        "id": "60",
-        "outputId": "adf95cf4-fc07-446e-bd1b-37f764903299",
         "colab": {
           "base_uri": "https://localhost:8080/"
-        }
+        },
+        "id": "60",
+        "outputId": "adf95cf4-fc07-446e-bd1b-37f764903299"
       },
       "outputs": [
         {
-          "output_type": "stream",
           "name": "stdout",
+          "output_type": "stream",
           "text": [
             "\n",
             "\n",
@@ -4069,15 +4069,15 @@
           ]
         },
         {
-          "output_type": "execute_result",
           "data": {
             "text/plain": [
               "{'query': \"Who is responsible for 'Event/ANG3310'?\",\n",
               " 'result': \"The event 'ANG3310' involves the actors 'Civilians (Angola)' and 'Unidentified Armed Group (Angola)'.\"}"
             ]
           },
+          "execution_count": 45,
           "metadata": {},
-          "execution_count": 45
+          "output_type": "execute_result"
         }
       ],
       "source": [
@@ -4089,16 +4089,16 @@
       "execution_count": 46,
       "id": "61",
       "metadata": {
-        "id": "61",
-        "outputId": "53823584-5dfc-44ea-f14e-8b09fe41055a",
         "colab": {
           "base_uri": "https://localhost:8080/"
-        }
+        },
+        "id": "61",
+        "outputId": "53823584-5dfc-44ea-f14e-8b09fe41055a"
       },
       "outputs": [
         {
-          "output_type": "stream",
           "name": "stdout",
+          "output_type": "stream",
           "text": [
             "\n",
             "\n",
@@ -4117,15 +4117,15 @@
           ]
         },
         {
-          "output_type": "execute_result",
           "data": {
             "text/plain": [
               "{'query': \"Where did 'Event/ANG3310' take place?\",\n",
               " 'result': \"The event with the identifier 'ANG3310' took place in Kilamba Kiaxi.\"}"
             ]
           },
+          "execution_count": 46,
           "metadata": {},
-          "execution_count": 46
+          "output_type": "execute_result"
         }
       ],
       "source": [
@@ -4137,17 +4137,17 @@
       "execution_count": 91,
       "id": "62",
       "metadata": {
-        "id": "62",
-        "outputId": "435e8a90-6848-4c8e-a9a5-8cb096549e39",
         "colab": {
           "base_uri": "https://localhost:8080/",
           "height": 261
-        }
+        },
+        "id": "62",
+        "outputId": "435e8a90-6848-4c8e-a9a5-8cb096549e39"
       },
       "outputs": [
         {
-          "output_type": "stream",
           "name": "stdout",
+          "output_type": "stream",
           "text": [
             "\n",
             "\n",
@@ -4165,17 +4165,17 @@
           ]
         },
         {
-          "output_type": "execute_result",
           "data": {
-            "text/plain": [
-              "\"The event with the identifier 'Event/ANG3310' took place in the country Angola.\""
-            ],
             "application/vnd.google.colaboratory.intrinsic+json": {
               "type": "string"
-            }
+            },
+            "text/plain": [
+              "\"The event with the identifier 'Event/ANG3310' took place in the country Angola.\""
+            ]
           },
+          "execution_count": 91,
           "metadata": {},
-          "execution_count": 91
+          "output_type": "execute_result"
         }
       ],
       "source": [
@@ -4187,16 +4187,16 @@
       "execution_count": 89,
       "id": "63",
       "metadata": {
-        "id": "63",
-        "outputId": "b1ea48ca-7f07-4be5-90f6-30ed76a36443",
         "colab": {
           "base_uri": "https://localhost:8080/"
-        }
+        },
+        "id": "63",
+        "outputId": "b1ea48ca-7f07-4be5-90f6-30ed76a36443"
       },
       "outputs": [
         {
-          "output_type": "stream",
           "name": "stdout",
+          "output_type": "stream",
           "text": [
             "\n",
             "\n",
@@ -4217,7 +4217,6 @@
           ]
         },
         {
-          "output_type": "execute_result",
           "data": {
             "text/plain": [
               "{'query': \"What region did 'Event/ANG3310' take place in?\",\n",
@@ -4229,8 +4228,9 @@
               "   'name': 'Middle Africa'}]}"
             ]
           },
+          "execution_count": 89,
           "metadata": {},
-          "execution_count": 89
+          "output_type": "execute_result"
         }
       ],
       "source": [
@@ -4242,16 +4242,16 @@
       "execution_count": 49,
       "id": "64",
       "metadata": {
-        "id": "64",
-        "outputId": "3c52b325-6a45-4a09-e699-e01574956270",
         "colab": {
           "base_uri": "https://localhost:8080/"
-        }
+        },
+        "id": "64",
+        "outputId": "3c52b325-6a45-4a09-e699-e01574956270"
       },
       "outputs": [
         {
-          "output_type": "stream",
           "name": "stdout",
+          "output_type": "stream",
           "text": [
             "\n",
             "\n",
@@ -4270,15 +4270,15 @@
           ]
         },
         {
-          "output_type": "execute_result",
           "data": {
             "text/plain": [
               "{'query': \"What is the source of 'Event/ANG3310'?\",\n",
               " 'result': \"The source of the event 'ANG3310' is the 'Angola Press Agency', which operates on a national scale.\"}"
             ]
           },
+          "execution_count": 49,
           "metadata": {},
-          "execution_count": 49
+          "output_type": "execute_result"
         }
       ],
       "source": [
@@ -4290,16 +4290,16 @@
       "execution_count": 50,
       "id": "65",
       "metadata": {
-        "id": "65",
-        "outputId": "787f4387-6bb7-4475-b2e8-241d17259752",
         "colab": {
           "base_uri": "https://localhost:8080/"
-        }
+        },
+        "id": "65",
+        "outputId": "787f4387-6bb7-4475-b2e8-241d17259752"
       },
       "outputs": [
         {
-          "output_type": "stream",
           "name": "stdout",
+          "output_type": "stream",
           "text": [
             "\n",
             "\n",
@@ -4319,15 +4319,15 @@
           ]
         },
         {
-          "output_type": "execute_result",
           "data": {
             "text/plain": [
               "{'query': \"What type of event is 'Event/ANG3310' classified as?\",\n",
               " 'result': \"The event 'Event/ANG3310' is classified as a 'Strategic developments' type of event.\"}"
             ]
           },
+          "execution_count": 50,
           "metadata": {},
-          "execution_count": 50
+          "output_type": "execute_result"
         }
       ],
       "source": [
@@ -4339,16 +4339,16 @@
       "execution_count": 51,
       "id": "66",
       "metadata": {
-        "id": "66",
-        "outputId": "5a075904-b257-426e-9648-ed2f1002be16",
         "colab": {
           "base_uri": "https://localhost:8080/"
-        }
+        },
+        "id": "66",
+        "outputId": "5a075904-b257-426e-9648-ed2f1002be16"
       },
       "outputs": [
         {
-          "output_type": "stream",
           "name": "stdout",
+          "output_type": "stream",
           "text": [
             "\n",
             "\n",
@@ -4365,15 +4365,15 @@
           ]
         },
         {
-          "output_type": "execute_result",
           "data": {
             "text/plain": [
               "{'query': \"What are the classes associated to 'Strategic developments'?\",\n",
               " 'result': \"The classes associated with 'Strategic developments' are 'Agreement', 'Headquarters or base established', 'Non-violent transfer of territory', 'Arrests', and 'Other'.\"}"
             ]
           },
+          "execution_count": 51,
           "metadata": {},
-          "execution_count": 51
+          "output_type": "execute_result"
         }
       ],
       "source": [
@@ -4385,16 +4385,16 @@
       "execution_count": 52,
       "id": "67",
       "metadata": {
-        "id": "67",
-        "outputId": "e74cd3c9-2e50-4353-f9c1-48d6d1c079ca",
         "colab": {
           "base_uri": "https://localhost:8080/"
-        }
+        },
+        "id": "67",
+        "outputId": "e74cd3c9-2e50-4353-f9c1-48d6d1c079ca"
       },
       "outputs": [
         {
-          "output_type": "stream",
           "name": "stdout",
+          "output_type": "stream",
           "text": [
             "\n",
             "\n",
@@ -4417,15 +4417,15 @@
           ]
         },
         {
-          "output_type": "execute_result",
           "data": {
             "text/plain": [
               "{'query': 'Fetch me the Actor with the most associated events. Remember to use INBOUND for eventActor',\n",
               " 'result': \"The actor associated with the most events in the database is 'Civilians (Democratic Republic of Congo)'.\"}"
             ]
           },
+          "execution_count": 52,
           "metadata": {},
-          "execution_count": 52
+          "output_type": "execute_result"
         }
       ],
       "source": [
@@ -4437,16 +4437,16 @@
       "execution_count": 53,
       "id": "68",
       "metadata": {
-        "id": "68",
-        "outputId": "9298ad6d-1f28-41bd-fbfe-cc4ad9e97576",
         "colab": {
           "base_uri": "https://localhost:8080/"
-        }
+        },
+        "id": "68",
+        "outputId": "9298ad6d-1f28-41bd-fbfe-cc4ad9e97576"
       },
       "outputs": [
         {
-          "output_type": "stream",
           "name": "stdout",
+          "output_type": "stream",
           "text": [
             "\n",
             "\n",
@@ -4466,15 +4466,15 @@
           ]
         },
         {
-          "output_type": "execute_result",
           "data": {
             "text/plain": [
               "{'query': 'Which 2020 event has the largest number of fatalities?',\n",
               " 'result': 'The 2020 event with the largest number of fatalities was a military operation carried out by the Chadian army against Boko Haram (or ISWAP) militants in the Lac Region. This event occurred between March 31 and April 8. The military acknowledged that 52 Chadian soldiers were killed and 196 others were wounded in the operations, claiming to have killed 1000 Boko Haram militants. However, the declared toll is assessed to be exaggerated and therefore revised and coded as 100. This brings the total fatalities to 152.'}"
             ]
           },
+          "execution_count": 53,
           "metadata": {},
-          "execution_count": 53
+          "output_type": "execute_result"
         }
       ],
       "source": [
@@ -4486,16 +4486,16 @@
       "execution_count": 54,
       "id": "69",
       "metadata": {
-        "id": "69",
-        "outputId": "cf8e4d07-f867-48ae-919c-4da2c35a048a",
         "colab": {
           "base_uri": "https://localhost:8080/"
-        }
+        },
+        "id": "69",
+        "outputId": "cf8e4d07-f867-48ae-919c-4da2c35a048a"
       },
       "outputs": [
         {
-          "output_type": "stream",
           "name": "stdout",
+          "output_type": "stream",
           "text": [
             "\n",
             "\n",
@@ -4515,15 +4515,15 @@
           ]
         },
         {
-          "output_type": "execute_result",
           "data": {
             "text/plain": [
               "{'query': 'Return the first 3 countries with the most associated events',\n",
               " 'result': 'The first three countries with the most associated events are the Democratic Republic of Congo with 2046 events, Kenya with 1192 events, and Burundi with 1030 events.'}"
             ]
           },
+          "execution_count": 54,
           "metadata": {},
-          "execution_count": 54
+          "output_type": "execute_result"
         }
       ],
       "source": [
@@ -4535,22 +4535,22 @@
       "execution_count": 55,
       "id": "70",
       "metadata": {
-        "id": "70",
-        "outputId": "ceee8bad-5459-4cce-8ec2-dcd01a402073",
         "colab": {
           "base_uri": "https://localhost:8080/"
-        }
+        },
+        "id": "70",
+        "outputId": "ceee8bad-5459-4cce-8ec2-dcd01a402073"
       },
       "outputs": [
         {
-          "output_type": "execute_result",
           "data": {
             "text/plain": [
               "True"
             ]
           },
+          "execution_count": 55,
           "metadata": {},
-          "execution_count": 55
+          "output_type": "execute_result"
         }
       ],
       "source": [
@@ -4585,16 +4585,16 @@
       "execution_count": 56,
       "id": "71",
       "metadata": {
-        "id": "71",
-        "outputId": "ed08caab-5cdf-4886-f90d-ec921aa5ee4a",
         "colab": {
           "base_uri": "https://localhost:8080/"
-        }
+        },
+        "id": "71",
+        "outputId": "ed08caab-5cdf-4886-f90d-ec921aa5ee4a"
       },
       "outputs": [
         {
-          "output_type": "stream",
           "name": "stdout",
+          "output_type": "stream",
           "text": [
             "\n",
             "\n",
@@ -4622,16 +4622,16 @@
       "execution_count": 57,
       "id": "72",
       "metadata": {
-        "id": "72",
-        "outputId": "45e0bd9d-76ee-4841-ee04-34ed8c6df0cf",
         "colab": {
           "base_uri": "https://localhost:8080/"
-        }
+        },
+        "id": "72",
+        "outputId": "45e0bd9d-76ee-4841-ee04-34ed8c6df0cf"
       },
       "outputs": [
         {
-          "output_type": "stream",
           "name": "stdout",
+          "output_type": "stream",
           "text": [
             "\n",
             "\n",
@@ -4666,16 +4666,16 @@
       "execution_count": 58,
       "id": "73",
       "metadata": {
-        "id": "73",
-        "outputId": "562ccedb-514d-47da-8c63-795e15f6d531",
         "colab": {
           "base_uri": "https://localhost:8080/"
-        }
+        },
+        "id": "73",
+        "outputId": "562ccedb-514d-47da-8c63-795e15f6d531"
       },
       "outputs": [
         {
-          "output_type": "stream",
           "name": "stdout",
+          "output_type": "stream",
           "text": [
             "\n",
             "\n",
@@ -4711,22 +4711,22 @@
       "execution_count": 59,
       "id": "74",
       "metadata": {
-        "id": "74",
-        "outputId": "d34b6c33-be64-4e93-d283-34c31a369080",
         "colab": {
           "base_uri": "https://localhost:8080/"
-        }
+        },
+        "id": "74",
+        "outputId": "d34b6c33-be64-4e93-d283-34c31a369080"
       },
       "outputs": [
         {
-          "output_type": "execute_result",
           "data": {
             "text/plain": [
               "True"
             ]
           },
+          "execution_count": 59,
           "metadata": {},
-          "execution_count": 59
+          "output_type": "execute_result"
         }
       ],
       "source": [
@@ -4759,16 +4759,16 @@
       "execution_count": 60,
       "id": "75",
       "metadata": {
-        "id": "75",
-        "outputId": "1ea16621-5c9b-4692-891c-3d86b9515932",
         "colab": {
           "base_uri": "https://localhost:8080/"
-        }
+        },
+        "id": "75",
+        "outputId": "1ea16621-5c9b-4692-891c-3d86b9515932"
       },
       "outputs": [
         {
-          "output_type": "stream",
           "name": "stdout",
+          "output_type": "stream",
           "text": [
             "\n",
             "\n",
@@ -4796,16 +4796,16 @@
       "execution_count": 61,
       "id": "76",
       "metadata": {
-        "id": "76",
-        "outputId": "c161768b-57d3-46f0-de8b-5706d3b0e452",
         "colab": {
           "base_uri": "https://localhost:8080/"
-        }
+        },
+        "id": "76",
+        "outputId": "c161768b-57d3-46f0-de8b-5706d3b0e452"
       },
       "outputs": [
         {
-          "output_type": "stream",
           "name": "stdout",
+          "output_type": "stream",
           "text": [
             "\n",
             "\n",
@@ -4843,16 +4843,16 @@
       "execution_count": 62,
       "id": "77",
       "metadata": {
-        "id": "77",
-        "outputId": "596da623-5fd3-467c-9459-2f0ce1fa792e",
         "colab": {
           "base_uri": "https://localhost:8080/"
-        }
+        },
+        "id": "77",
+        "outputId": "596da623-5fd3-467c-9459-2f0ce1fa792e"
       },
       "outputs": [
         {
-          "output_type": "stream",
           "name": "stdout",
+          "output_type": "stream",
           "text": [
             "\n",
             "\n",
@@ -4922,16 +4922,16 @@
       "execution_count": 63,
       "id": "81",
       "metadata": {
-        "id": "81",
-        "outputId": "e602ea96-f61f-4290-d8c2-f228b919b951",
         "colab": {
           "base_uri": "https://localhost:8080/"
-        }
+        },
+        "id": "81",
+        "outputId": "e602ea96-f61f-4290-d8c2-f228b919b951"
       },
       "outputs": [
         {
-          "output_type": "stream",
           "name": "stdout",
+          "output_type": "stream",
           "text": [
             "\n",
             "\n",
@@ -4948,15 +4948,15 @@
           ]
         },
         {
-          "output_type": "execute_result",
           "data": {
             "text/plain": [
               "{'query': 'Who are the grandchildren of Rickard Stark?',\n",
               " 'result': 'Rickard Stark does not have any recorded grandchildren in the database.'}"
             ]
           },
+          "execution_count": 63,
           "metadata": {},
-          "execution_count": 63
+          "output_type": "execute_result"
         }
       ],
       "source": [
@@ -4969,16 +4969,16 @@
       "execution_count": 64,
       "id": "82",
       "metadata": {
-        "id": "82",
-        "outputId": "c78f2429-e3af-44f6-a619-9529e52050e3",
         "colab": {
           "base_uri": "https://localhost:8080/"
-        }
+        },
+        "id": "82",
+        "outputId": "c78f2429-e3af-44f6-a619-9529e52050e3"
       },
       "outputs": [
         {
-          "output_type": "stream",
           "name": "stdout",
+          "output_type": "stream",
           "text": [
             "\n",
             "\n",
@@ -4995,15 +4995,15 @@
           ]
         },
         {
-          "output_type": "execute_result",
           "data": {
             "text/plain": [
               "{'query': 'Who are the grandchildren of Rickard Stark? Remember to use INBOUND',\n",
               " 'result': 'The grandchildren of Rickard Stark are Jon Snow, Arya Stark, Sansa Stark, Robb Stark, and Bran Stark.'}"
             ]
           },
+          "execution_count": 64,
           "metadata": {},
-          "execution_count": 64
+          "output_type": "execute_result"
         }
       ],
       "source": [
@@ -5016,16 +5016,16 @@
       "execution_count": 65,
       "id": "83",
       "metadata": {
-        "id": "83",
-        "outputId": "1d7f77a4-8482-45d8-8d76-6302e62d9c82",
         "colab": {
           "base_uri": "https://localhost:8080/"
-        }
+        },
+        "id": "83",
+        "outputId": "1d7f77a4-8482-45d8-8d76-6302e62d9c82"
       },
       "outputs": [
         {
-          "output_type": "stream",
           "name": "stdout",
+          "output_type": "stream",
           "text": [
             "\n",
             "\n",
@@ -5042,15 +5042,15 @@
           ]
         },
         {
-          "output_type": "execute_result",
           "data": {
             "text/plain": [
               "{'query': 'Who are the grandchildren of Tywin Lannister?',\n",
               " 'result': \"The grandchildren of Tywin Lannister are Joffrey Baratheon. Please note that Joffrey Baratheon is listed twice, indicating that he is a grandchild through both of Tywin's children.\"}"
             ]
           },
+          "execution_count": 65,
           "metadata": {},
-          "execution_count": 65
+          "output_type": "execute_result"
         }
       ],
       "source": [
@@ -5333,16 +5333,16 @@
       "execution_count": 72,
       "id": "95",
       "metadata": {
-        "id": "95",
-        "outputId": "9442c09e-b209-44ec-a65f-ab030986ff2d",
         "colab": {
           "base_uri": "https://localhost:8080/"
-        }
+        },
+        "id": "95",
+        "outputId": "9442c09e-b209-44ec-a65f-ab030986ff2d"
       },
       "outputs": [
         {
-          "output_type": "stream",
           "name": "stdout",
+          "output_type": "stream",
           "text": [
             "\n",
             "\n",
@@ -5360,15 +5360,15 @@
           ]
         },
         {
-          "output_type": "execute_result",
           "data": {
             "text/plain": [
               "{'query': 'Is Ned Stark alive?',\n",
               " 'result': \"Oh, I hate to be the bearer of bad news, but Ned Stark has joined the choir invisible. He is an ex-character. He's shuffled off this mortal coil. In simpler terms, no, Ned Stark is not alive.\"}"
             ]
           },
+          "execution_count": 72,
           "metadata": {},
-          "execution_count": 72
+          "output_type": "execute_result"
         }
       ],
       "source": [
@@ -5471,33 +5471,33 @@
       "execution_count": 77,
       "id": "99",
       "metadata": {
-        "id": "99",
-        "outputId": "9fe0e40c-a2b3-4439-9ab7-213b65d4c0b3",
         "colab": {
           "base_uri": "https://localhost:8080/"
-        }
+        },
+        "id": "99",
+        "outputId": "9fe0e40c-a2b3-4439-9ab7-213b65d4c0b3"
       },
       "outputs": [
         {
-          "output_type": "execute_result",
           "data": {
             "text/plain": [
               "FileObject(id='file-egN1bG3TNxKOMGG3TRpCMxWL', bytes=1455, created_at=1710184143, filename='aql.jsonl', object='file', purpose='fine-tune', status='processed', status_details=None)"
             ]
           },
+          "execution_count": 77,
           "metadata": {},
-          "execution_count": 77
+          "output_type": "execute_result"
         }
       ],
       "source": [
         "# 2. Create the OpenAI File\n",
         "\n",
         "import os\n",
-        "from openai import OpenAI\n",
+        "import openai\n",
         "\n",
         "openai.api_key = os.getenv(\"OPENAI_API_KEY\")\n",
         "\n",
-        "client = OpenAI()\n",
+        "client = openai.OpenAI()\n",
         "\n",
         "openai_file = client.files.create(\n",
         "  file=open(\"aql.jsonl\", \"rb\"),\n",
@@ -5512,22 +5512,22 @@
       "execution_count": 81,
       "id": "100",
       "metadata": {
-        "id": "100",
-        "outputId": "3db42e8c-b3ea-4ad6-840f-fa3f1be751ac",
         "colab": {
           "base_uri": "https://localhost:8080/"
-        }
+        },
+        "id": "100",
+        "outputId": "3db42e8c-b3ea-4ad6-840f-fa3f1be751ac"
       },
       "outputs": [
         {
-          "output_type": "execute_result",
           "data": {
             "text/plain": [
               "FineTuningJob(id='ftjob-DYn1hfmeBmsDkK77zemvL1oS', created_at=1710184183, error=Error(code=None, message=None, param=None, error=None), fine_tuned_model=None, finished_at=None, hyperparameters=Hyperparameters(n_epochs='auto', batch_size='auto', learning_rate_multiplier='auto'), model='gpt-3.5-turbo-0125', object='fine_tuning.job', organization_id='org-qxPkNPWF8DKL1WPIc5huNbv1', result_files=[], status='validating_files', trained_tokens=None, training_file='file-egN1bG3TNxKOMGG3TRpCMxWL', validation_file=None, user_provided_suffix=None)"
             ]
           },
+          "execution_count": 81,
           "metadata": {},
-          "execution_count": 81
+          "output_type": "execute_result"
         }
       ],
       "source": [
@@ -5543,16 +5543,16 @@
       "execution_count": 101,
       "id": "101",
       "metadata": {
-        "id": "101",
-        "outputId": "eaccf4c5-4ccc-4ba1-dac7-80b650224477",
         "colab": {
           "base_uri": "https://localhost:8080/"
-        }
+        },
+        "id": "101",
+        "outputId": "eaccf4c5-4ccc-4ba1-dac7-80b650224477"
       },
       "outputs": [
         {
-          "output_type": "stream",
           "name": "stdout",
+          "output_type": "stream",
           "text": [
             "done!\n"
           ]
@@ -5611,16 +5611,16 @@
       "execution_count": 104,
       "id": "104",
       "metadata": {
-        "id": "104",
-        "outputId": "23b05d9f-e932-4703-ecab-46d89f499832",
         "colab": {
           "base_uri": "https://localhost:8080/"
-        }
+        },
+        "id": "104",
+        "outputId": "23b05d9f-e932-4703-ecab-46d89f499832"
       },
       "outputs": [
         {
-          "output_type": "stream",
           "name": "stdout",
+          "output_type": "stream",
           "text": [
             "\n",
             "\n",
@@ -5646,7 +5646,6 @@
           ]
         },
         {
-          "output_type": "execute_result",
           "data": {
             "text/plain": [
               "{'query': 'How old is Ned Stark?',\n",
@@ -5655,8 +5654,9 @@
               " 'aql_result': [41]}"
             ]
           },
+          "execution_count": 104,
           "metadata": {},
-          "execution_count": 104
+          "output_type": "execute_result"
         }
       ],
       "source": [
@@ -5669,16 +5669,16 @@
       "execution_count": 105,
       "id": "105",
       "metadata": {
-        "id": "105",
-        "outputId": "09591e48-a064-4c1d-f916-e84cc1bea6da",
         "colab": {
           "base_uri": "https://localhost:8080/"
-        }
+        },
+        "id": "105",
+        "outputId": "09591e48-a064-4c1d-f916-e84cc1bea6da"
       },
       "outputs": [
         {
-          "output_type": "stream",
           "name": "stdout",
+          "output_type": "stream",
           "text": [
             "\n",
             "\n",
@@ -5711,14 +5711,14 @@
           ]
         },
         {
-          "output_type": "execute_result",
           "data": {
             "text/plain": [
               "{'query': 'How old is Ned Stark?', 'result': 'Ned Stark is 41 years old.'}"
             ]
           },
+          "execution_count": 105,
           "metadata": {},
-          "execution_count": 105
+          "output_type": "execute_result"
         }
       ],
       "source": [
@@ -5820,22 +5820,22 @@
       "execution_count": 144,
       "id": "110",
       "metadata": {
-        "id": "110",
-        "outputId": "1ec03dd0-c620-403d-d092-d3971db090af",
         "colab": {
           "base_uri": "https://localhost:8080/"
-        }
+        },
+        "id": "110",
+        "outputId": "1ec03dd0-c620-403d-d092-d3971db090af"
       },
       "outputs": [
         {
-          "output_type": "execute_result",
           "data": {
             "text/plain": [
               "Response(response='Protesters have gathered in the streets due to concerns about the increase in food prices, high unemployment rates, and a perceived decline in essential government services.', source_nodes=[NodeWithScore(node=TextNode(id_='158c69fc-2fba-4f32-a998-91a3a47a16ca', embedding=None, metadata={'_id': 'Event/ALG2554'}, excluded_embed_metadata_keys=[], excluded_llm_metadata_keys=[], relationships={<NodeRelationship.SOURCE: '1'>: RelatedNodeInfo(node_id='038eafc2-1e7a-4cf7-826c-41ead79ceaab', node_type=<ObjectType.DOCUMENT: '4'>, metadata={'_id': 'Event/ALG2554'}, hash='934e2b16f008b227f4b9bd563eab504ac01d2296c544bef445176eb75ad2b0a3'), <NodeRelationship.PREVIOUS: '2'>: RelatedNodeInfo(node_id='337d4352-b089-4772-bbf6-db591a54833f', node_type=<ObjectType.TEXT: '1'>, metadata={'_id': 'Event/ALG2553'}, hash='70b02ab3d240c802aa60cd72264d3adad57daa5d04fa174a511d4a0899298728'), <NodeRelationship.NEXT: '3'>: RelatedNodeInfo(node_id='a622f88b-c6b9-467f-a3ca-b351139e45f5', node_type=<ObjectType.TEXT: '1'>, metadata={}, hash='6c6bdd8671d153dd0b70aea14a915a151337fa0bc889f6cdc8c65dce6175c8b3')}, text='Protesters gather in the streets over the rise of food prices, unemployment, and a perceived deterioration of basic government services., 2011-01-05T00:00:00.000Z, Protests, 0', start_char_idx=0, end_char_idx=175, text_template='{metadata_str}\\n\\n{content}', metadata_template='{key}: {value}', metadata_seperator='\\n'), score=0.8528379279022342), NodeWithScore(node=TextNode(id_='1855d0f9-97b4-479b-bdaa-96c90dad7185', embedding=None, metadata={'_id': 'Event/ALG2555'}, excluded_embed_metadata_keys=[], excluded_llm_metadata_keys=[], relationships={<NodeRelationship.SOURCE: '1'>: RelatedNodeInfo(node_id='6d5dd696-77f6-48ff-93b9-c743249fa077', node_type=<ObjectType.DOCUMENT: '4'>, metadata={'_id': 'Event/ALG2555'}, hash='ad792bbbba20eec788b2a259da32e19c15851ed158f90a5fd059e15dc7b961fa'), <NodeRelationship.PREVIOUS: '2'>: RelatedNodeInfo(node_id='a8e2252c-c600-472a-8fd5-402acf47dbea', node_type=<ObjectType.TEXT: '1'>, metadata={'_id': 'Event/ALG2559'}, hash='3f364098aff7624a0a86585ac54567044b49085e0143904303e7f499efc238ba'), <NodeRelationship.NEXT: '3'>: RelatedNodeInfo(node_id='6f80f573-8be0-4e05-8f30-4a530d9f983d', node_type=<ObjectType.TEXT: '1'>, metadata={}, hash='e7a71c1105679ddc330bae6e78e4e36679d809ef5a46bbb2c8ca820eb066d284')}, text='Protesters gather in the streets over the rise of food prices, unemployment, and a perceived deterioration of basic government services., 2011-01-05T00:00:00.000Z, Protests, 0', start_char_idx=0, end_char_idx=175, text_template='{metadata_str}\\n\\n{content}', metadata_template='{key}: {value}', metadata_seperator='\\n'), score=0.8519977629659838)], metadata={'158c69fc-2fba-4f32-a998-91a3a47a16ca': {'_id': 'Event/ALG2554'}, '1855d0f9-97b4-479b-bdaa-96c90dad7185': {'_id': 'Event/ALG2555'}})"
             ]
           },
+          "execution_count": 144,
           "metadata": {},
-          "execution_count": 144
+          "output_type": "execute_result"
         }
       ],
       "source": [
@@ -5948,22 +5948,22 @@
       "execution_count": 134,
       "id": "116",
       "metadata": {
-        "id": "116",
-        "outputId": "8ab1bd4f-2c28-4d84-aaf4-6e0a3c637ab8",
         "colab": {
           "base_uri": "https://localhost:8080/"
-        }
+        },
+        "id": "116",
+        "outputId": "8ab1bd4f-2c28-4d84-aaf4-6e0a3c637ab8"
       },
       "outputs": [
         {
-          "output_type": "execute_result",
           "data": {
             "text/plain": [
               "Response(response='National Union for the Total Independence of Angola', source_nodes=[NodeWithScore(node=TextNode(id_='cd0f1b76-e2a9-444f-a1e7-69aa70905bdd', embedding=None, metadata={'_id': 'Actor/fa638dbcb53f818c5e12dd09542efedf'}, excluded_embed_metadata_keys=[], excluded_llm_metadata_keys=[], relationships={<NodeRelationship.SOURCE: '1'>: RelatedNodeInfo(node_id='03a3bbba-e945-4497-8297-cd12d27045cf', node_type=<ObjectType.DOCUMENT: '4'>, metadata={'_id': 'Actor/fa638dbcb53f818c5e12dd09542efedf'}, hash='9c03b3ced77eed0465aa9509c4133601952135beb1bf9b9c4c1c34c15c3f8637'), <NodeRelationship.PREVIOUS: '2'>: RelatedNodeInfo(node_id='e23eae4e-9a22-4d16-86a1-aebecb1a7730', node_type=<ObjectType.TEXT: '1'>, metadata={'_id': 'Actor/7ce21c73939d25a5797624adeb219433'}, hash='122b531e1b03d8c51cd871db2959109abf236fdf2de581724e8bb682c7068c12'), <NodeRelationship.NEXT: '3'>: RelatedNodeInfo(node_id='34b3624d-04a8-4d7b-822c-3f3f1cc9832f', node_type=<ObjectType.TEXT: '1'>, metadata={}, hash='847f5b8366fd43866cedd4940ce1179fa8e834fdc7b9007a59e08961400e65b8')}, text='Former UNITA: National Union for the Total Independence of Angola', start_char_idx=0, end_char_idx=65, text_template='{metadata_str}\\n\\n{content}', metadata_template='{key}: {value}', metadata_seperator='\\n'), score=0.8614664686763281), NodeWithScore(node=TextNode(id_='2833e01f-7019-4dd7-9216-742cfebf67e7', embedding=None, metadata={'_id': 'Actor/9bf5e0a27d6c6ec8113ff71756802331'}, excluded_embed_metadata_keys=[], excluded_llm_metadata_keys=[], relationships={<NodeRelationship.SOURCE: '1'>: RelatedNodeInfo(node_id='21b10caa-fa0f-4c3e-9638-9a600425d378', node_type=<ObjectType.DOCUMENT: '4'>, metadata={'_id': 'Actor/9bf5e0a27d6c6ec8113ff71756802331'}, hash='c1a025475ca5fd65e68103deedd4c11f71370b2978f460bcfee5755a4f18be2e'), <NodeRelationship.PREVIOUS: '2'>: RelatedNodeInfo(node_id='58437b79-582f-4eb2-bc8d-2da99dcd3914', node_type=<ObjectType.TEXT: '1'>, metadata={'_id': 'Actor/827a99003b0685f6f2db84bc0db726d0'}, hash='f33dd57065b77a9d9002be32e4f371a7a8eb53f6795f44ddaa7fb695b82a8161'), <NodeRelationship.NEXT: '3'>: RelatedNodeInfo(node_id='024fc5a4-e0f4-45ff-8a52-15bc22bbbd7d', node_type=<ObjectType.TEXT: '1'>, metadata={}, hash='42090e4f8de57e7efe1fc2892d9b1fb5a305f5ec6c964cb93de0b9dba80853ed')}, text='UNITA: National Union for the Total Independence of Angola', start_char_idx=0, end_char_idx=58, text_template='{metadata_str}\\n\\n{content}', metadata_template='{key}: {value}', metadata_seperator='\\n'), score=0.8602056427642614)], metadata={'cd0f1b76-e2a9-444f-a1e7-69aa70905bdd': {'_id': 'Actor/fa638dbcb53f818c5e12dd09542efedf'}, '2833e01f-7019-4dd7-9216-742cfebf67e7': {'_id': 'Actor/9bf5e0a27d6c6ec8113ff71756802331'}, 'selector_result': MultiSelection(selections=[SingleSelection(index=1, reason=\"The question 'What does UNITA stand for?' is likely related to an 'Actor' collection data query, as UNITA is likely an organization or entity represented by actors.\")])})"
             ]
           },
+          "execution_count": 134,
           "metadata": {},
-          "execution_count": 134
+          "output_type": "execute_result"
         }
       ],
       "source": [
@@ -5974,57 +5974,57 @@
     },
     {
       "cell_type": "code",
-      "source": [
-        "router_query_engine.query(\"What are some Actors associated to Angola?\")"
-      ],
+      "execution_count": 138,
+      "id": "Fo67Trjm_-qy",
       "metadata": {
-        "id": "Fo67Trjm_-qy",
-        "outputId": "626a704a-a3bb-498f-c37c-a0c54a28dcd6",
         "colab": {
           "base_uri": "https://localhost:8080/"
-        }
+        },
+        "id": "Fo67Trjm_-qy",
+        "outputId": "626a704a-a3bb-498f-c37c-a0c54a28dcd6"
       },
-      "id": "Fo67Trjm_-qy",
-      "execution_count": 138,
       "outputs": [
         {
-          "output_type": "execute_result",
           "data": {
             "text/plain": [
               "Response(response='Government of Angola and UNITA', source_nodes=[NodeWithScore(node=TextNode(id_='300fe63d-7686-44d5-9082-1f06ab8415f5', embedding=None, metadata={'_id': 'Actor/c830f275ce678ee9a0184606db329a4c'}, excluded_embed_metadata_keys=[], excluded_llm_metadata_keys=[], relationships={<NodeRelationship.SOURCE: '1'>: RelatedNodeInfo(node_id='92ac5f1d-6a18-4880-9470-d639dd5f4206', node_type=<ObjectType.DOCUMENT: '4'>, metadata={'_id': 'Actor/c830f275ce678ee9a0184606db329a4c'}, hash='17866ed7ab330f3824a838c7a47a3da12f692cc88e99447be466f4ff34743f09'), <NodeRelationship.PREVIOUS: '2'>: RelatedNodeInfo(node_id='18ab1c7e-602f-42fb-9fa0-7262e9085027', node_type=<ObjectType.TEXT: '1'>, metadata={'_id': 'Actor/a3cf97fe7c908c8075cf470fd30f5691'}, hash='0c1a1c683f7b2e1fe2cb7992ee5b01332f03438e55f172ad6c43527ffab923ca'), <NodeRelationship.NEXT: '3'>: RelatedNodeInfo(node_id='9bfe9371-4af9-4b4c-abf5-22243bd07cfb', node_type=<ObjectType.TEXT: '1'>, metadata={}, hash='bb78323a2b9c15b892b56858d37f784b9c1314c008367413721d6d28bcb426c1')}, text='Government of Angola (1975-)', start_char_idx=0, end_char_idx=28, text_template='{metadata_str}\\n\\n{content}', metadata_template='{key}: {value}', metadata_seperator='\\n'), score=0.8721270332984348), NodeWithScore(node=TextNode(id_='2833e01f-7019-4dd7-9216-742cfebf67e7', embedding=None, metadata={'_id': 'Actor/9bf5e0a27d6c6ec8113ff71756802331'}, excluded_embed_metadata_keys=[], excluded_llm_metadata_keys=[], relationships={<NodeRelationship.SOURCE: '1'>: RelatedNodeInfo(node_id='21b10caa-fa0f-4c3e-9638-9a600425d378', node_type=<ObjectType.DOCUMENT: '4'>, metadata={'_id': 'Actor/9bf5e0a27d6c6ec8113ff71756802331'}, hash='c1a025475ca5fd65e68103deedd4c11f71370b2978f460bcfee5755a4f18be2e'), <NodeRelationship.PREVIOUS: '2'>: RelatedNodeInfo(node_id='58437b79-582f-4eb2-bc8d-2da99dcd3914', node_type=<ObjectType.TEXT: '1'>, metadata={'_id': 'Actor/827a99003b0685f6f2db84bc0db726d0'}, hash='f33dd57065b77a9d9002be32e4f371a7a8eb53f6795f44ddaa7fb695b82a8161'), <NodeRelationship.NEXT: '3'>: RelatedNodeInfo(node_id='024fc5a4-e0f4-45ff-8a52-15bc22bbbd7d', node_type=<ObjectType.TEXT: '1'>, metadata={}, hash='42090e4f8de57e7efe1fc2892d9b1fb5a305f5ec6c964cb93de0b9dba80853ed')}, text='UNITA: National Union for the Total Independence of Angola', start_char_idx=0, end_char_idx=58, text_template='{metadata_str}\\n\\n{content}', metadata_template='{key}: {value}', metadata_seperator='\\n'), score=0.8702608020248003)], metadata={'300fe63d-7686-44d5-9082-1f06ab8415f5': {'_id': 'Actor/c830f275ce678ee9a0184606db329a4c'}, '2833e01f-7019-4dd7-9216-742cfebf67e7': {'_id': 'Actor/9bf5e0a27d6c6ec8113ff71756802331'}, 'selector_result': MultiSelection(selections=[SingleSelection(index=1, reason=\"The query engine for 'Actor' collection data would be most relevant to the question 'What are some Actors associated to Angola?' as it focuses on retrieving information about actors, which are likely to include individuals associated with Angola.\")])})"
             ]
           },
+          "execution_count": 138,
           "metadata": {},
-          "execution_count": 138
+          "output_type": "execute_result"
         }
+      ],
+      "source": [
+        "router_query_engine.query(\"What are some Actors associated to Angola?\")"
       ]
     },
     {
       "cell_type": "code",
-      "source": [
-        "router_query_engine.query(\"Tell me about an event that had at least 1 fatality\")"
-      ],
+      "execution_count": 148,
+      "id": "wETZgig_ATU9",
       "metadata": {
-        "id": "wETZgig_ATU9",
-        "outputId": "d04a0f83-6b21-4383-c4fb-231255c431e3",
         "colab": {
           "base_uri": "https://localhost:8080/"
-        }
+        },
+        "id": "wETZgig_ATU9",
+        "outputId": "d04a0f83-6b21-4383-c4fb-231255c431e3"
       },
-      "id": "wETZgig_ATU9",
-      "execution_count": 148,
       "outputs": [
         {
-          "output_type": "execute_result",
           "data": {
             "text/plain": [
               "Response(response='An event that had at least 1 fatality involved 2 deaths due to rioting reported by The Liberte Daily.', source_nodes=[NodeWithScore(node=TextNode(id_='0333a1a9-5118-4eff-b0a1-e824e2751a6a', embedding=None, metadata={'_id': 'Event/ALG548'}, excluded_embed_metadata_keys=[], excluded_llm_metadata_keys=[], relationships={<NodeRelationship.SOURCE: '1'>: RelatedNodeInfo(node_id='7e9660cd-6f91-4e2d-af8f-edf7f0a39be3', node_type=<ObjectType.DOCUMENT: '4'>, metadata={'_id': 'Event/ALG548'}, hash='181229cb01578544cd0216b9c6f809404f41523327a9d20be13ffc8e71e43517'), <NodeRelationship.PREVIOUS: '2'>: RelatedNodeInfo(node_id='5547a459-f56c-4423-a10d-71d905fa620c', node_type=<ObjectType.TEXT: '1'>, metadata={'_id': 'Event/ALG547'}, hash='68bf1d15a7bc0fa9a88308774812ac20afb1de4c8bfc5ceb7cdc9390e4f378c6'), <NodeRelationship.NEXT: '3'>: RelatedNodeInfo(node_id='192c4105-2171-468f-b724-8dc5ff7bfad9', node_type=<ObjectType.TEXT: '1'>, metadata={}, hash='2556a141dead3eff57f3262caf5ce64f234d2fd948808c916a7e716230ecaa30')}, text='The Liberte Daily reported that 2 more deaths due to rioting had occurred on Monday. Both were allegedly shot by police, although the locations of the shootings were not reported., 2001-05-28T00:00:00.000Z, Violence_against_civilians, 2', start_char_idx=0, end_char_idx=236, text_template='{metadata_str}\\n\\n{content}', metadata_template='{key}: {value}', metadata_seperator='\\n'), score=0.8191686461095953), NodeWithScore(node=TextNode(id_='8e517a19-abd1-457c-a913-ff28125466ca', embedding=None, metadata={'_id': 'Event/ALG623'}, excluded_embed_metadata_keys=[], excluded_llm_metadata_keys=[], relationships={<NodeRelationship.SOURCE: '1'>: RelatedNodeInfo(node_id='ff1bf6b6-3134-4b47-b717-b9c668c590b9', node_type=<ObjectType.DOCUMENT: '4'>, metadata={'_id': 'Event/ALG623'}, hash='164ef9c1fe3f41fa6191d1af7b52c5566690090e11eb31c47504a94ed987283a'), <NodeRelationship.PREVIOUS: '2'>: RelatedNodeInfo(node_id='b6ac9243-6590-4175-8caf-5af12a11e6d9', node_type=<ObjectType.TEXT: '1'>, metadata={'_id': 'Event/ALG624'}, hash='a2bdd9643de2d6a574815f2797977da31b90d538513c8ba6eaea84cf7032cc74'), <NodeRelationship.NEXT: '3'>: RelatedNodeInfo(node_id='f4738570-453b-49de-9d18-eb814623f9c4', node_type=<ObjectType.TEXT: '1'>, metadata={}, hash='0aa79e4edcfe1086fa34f646201d19e416d41f72712e31b3ee9fc9a6c127f7c5')}, text='43 people have been reported killed in the Mascara region over the last two weeks (reported on Sept.1, 28 fatalities reported in other events)., 2001-08-25T00:00:00.000Z, Violence_against_civilians, 15', start_char_idx=0, end_char_idx=201, text_template='{metadata_str}\\n\\n{content}', metadata_template='{key}: {value}', metadata_seperator='\\n'), score=0.8188363212047347)], metadata={'0333a1a9-5118-4eff-b0a1-e824e2751a6a': {'_id': 'Event/ALG548'}, '8e517a19-abd1-457c-a913-ff28125466ca': {'_id': 'Event/ALG623'}, 'selector_result': MultiSelection(selections=[SingleSelection(index=0, reason=\"The query engine for 'Event' collection data would be most relevant to the question about an event with at least 1 fatality.\")])})"
             ]
           },
+          "execution_count": 148,
           "metadata": {},
-          "execution_count": 148
+          "output_type": "execute_result"
         }
-      ]
+      ],
+      "source": [
+        "router_query_engine.query(\"Tell me about an event that had at least 1 fatality\")"
+      ]
     },
     {
       "cell_type": "markdown",
@@ -6038,30 +6038,30 @@
     },
     {
       "cell_type": "code",
-      "source": [
-        "# Notice how no relationships are being dervied, the response is empty:\n",
-        "router_query_engine.query(\"What events are linked to the Government of Angola?\")"
-      ],
+      "execution_count": 145,
+      "id": "FS-84fDbAt7M",
       "metadata": {
-        "id": "FS-84fDbAt7M",
-        "outputId": "fe08413f-34ff-4d1e-e3be-4514b01a20dd",
         "colab": {
           "base_uri": "https://localhost:8080/"
-        }
+        },
+        "id": "FS-84fDbAt7M",
+        "outputId": "fe08413f-34ff-4d1e-e3be-4514b01a20dd"
       },
-      "id": "FS-84fDbAt7M",
-      "execution_count": 145,
       "outputs": [
         {
-          "output_type": "execute_result",
           "data": {
             "text/plain": [
               "Response(response='None of the events mentioned in the context information are linked to the Government of Angola.', source_nodes=[NodeWithScore(node=TextNode(id_='988a894c-3f07-433f-b6ac-9acace8b6be2', embedding=None, metadata={'_id': 'Event/ALG2367'}, excluded_embed_metadata_keys=[], excluded_llm_metadata_keys=[], relationships={<NodeRelationship.SOURCE: '1'>: RelatedNodeInfo(node_id='71a1b58c-28fe-4d4c-8192-7283a1e2d512', node_type=<ObjectType.DOCUMENT: '4'>, metadata={'_id': 'Event/ALG2367'}, hash='0c107782789a1674b8dbabd024723b1cca3c9719f7664bb9997e75aafb5497fb'), <NodeRelationship.PREVIOUS: '2'>: RelatedNodeInfo(node_id='1af36b49-069f-4938-b9a8-90db5b4396dd', node_type=<ObjectType.TEXT: '1'>, metadata={'_id': 'Event/ALG2366'}, hash='e590568ecd134130ee54e91ccdafe2191af671e60455d7da0b8290fd2bb00417'), <NodeRelationship.NEXT: '3'>: RelatedNodeInfo(node_id='34e6df18-5137-4e56-b23f-b0e41d422e46', node_type=<ObjectType.TEXT: '1'>, metadata={}, hash='403943b3cb8db64fd00c4395895b226428bf8fc72855df43afa63aae0e4b1f5a')}, text='Protests were observed this week, part of a wave of demonstrations over housing conditions, the state of roads, and gas and electricity cuts. Authorities insist that Algerias 2010 budget allots significant spending to health infrastructure, habitat and town planning, and social services like water, gas, electricity and urban transport., 2009-10-15T00:00:00.000Z, Protests, 0', start_char_idx=0, end_char_idx=376, text_template='{metadata_str}\\n\\n{content}', metadata_template='{key}: {value}', metadata_seperator='\\n'), score=0.8098310160208833), NodeWithScore(node=TextNode(id_='fd2a4303-7856-43db-9e62-d90edf614329', embedding=None, metadata={'_id': 'Event/ALG2931'}, excluded_embed_metadata_keys=[], excluded_llm_metadata_keys=[], relationships={<NodeRelationship.SOURCE: '1'>: RelatedNodeInfo(node_id='5c87170f-e39c-43aa-a8ee-25f954aba3d3', node_type=<ObjectType.DOCUMENT: '4'>, metadata={'_id': 'Event/ALG2931'}, hash='45841faf32e5ee0a249e499cdb81798fa07291b8768aad4368ae53c3cbee36a5'), <NodeRelationship.PREVIOUS: '2'>: RelatedNodeInfo(node_id='358ea7c2-b8ca-4b45-8674-ece1be96926a', node_type=<ObjectType.TEXT: '1'>, metadata={'_id': 'Event/ALG2929'}, hash='c906b4c3303083537c82d9f6d4a48019d982fbf6868c9fea4eb1a16052c41db2'), <NodeRelationship.NEXT: '3'>: RelatedNodeInfo(node_id='26f00775-279d-42c7-8f6d-e77b22b76dc1', node_type=<ObjectType.TEXT: '1'>, metadata={}, hash='02a9cc380cd877239f0156fff9b4ff21bcab52104d50f7bff6904ef4fc4c9943')}, text='Several provinces of the country witnessed protests linked to unemployment, urban planning, lack of gas and water, and especially to housing problem. In the province of Tipasa, west of Algiers, citizens of Halloula-Essahilia village last Thursday took to the streets and blocked National Road 67 to protest against the cancellation of the scheduled visit of the governor of Tipasa, during which they hoped to present their grievances to the first responsible of the province. They used burning tires and other objects to denounce the lack of drinking water in homes pipes for five days, the fall of a child in a sewer and to claim social order., 2011-12-22T00:00:00.000Z, Riots, 0', start_char_idx=0, end_char_idx=680, text_template='{metadata_str}\\n\\n{content}', metadata_template='{key}: {value}', metadata_seperator='\\n'), score=0.8092197909480777)], metadata={'988a894c-3f07-433f-b6ac-9acace8b6be2': {'_id': 'Event/ALG2367'}, 'fd2a4303-7856-43db-9e62-d90edf614329': {'_id': 'Event/ALG2931'}, 'selector_result': MultiSelection(selections=[SingleSelection(index=0, reason=\"The query engine for 'Event' collection data would be most relevant to the question 'What events are linked to the Government of Angola?' as it focuses on events and their data.\")])})"
             ]
           },
+          "execution_count": 145,
           "metadata": {},
-          "execution_count": 145
+          "output_type": "execute_result"
         }
+      ],
+      "source": [
+        "# Notice how no relationships are being dervied, the response is empty:\n",
+        "router_query_engine.query(\"What events are linked to the Government of Angola?\")"
       ]
     },
     {
@@ -6111,10 +6111,37 @@
     },
     "widgets": {
       "application/vnd.jupyter.widget-state+json": {
-        "70ee96c8ef3c45aa98219904eb3b9fe3": {
+        "00bb413e3e8d4aa2ae5a6d22f161f9cf": {
           "model_module": "@jupyter-widgets/output",
+          "model_module_version": "1.0.0",
           "model_name": "OutputModel",
+          "state": {
+            "_dom_classes": [],
+            "_model_module": "@jupyter-widgets/output",
+            "_model_module_version": "1.0.0",
+            "_model_name": "OutputModel",
+            "_view_count": null,
+            "_view_module": "@jupyter-widgets/output",
+            "_view_module_version": "1.0.0",
+            "_view_name": "OutputView",
+            "layout": "IPY_MODEL_4d3c7dbf69da4fb499307835431b6a09",
+            "msg_id": "",
+            "outputs": [
+              {
+                "data": {
+                  "text/html": "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">GET: https://arangodb-dataset-library-ml.s3.amazonaws.com/open_intelligence/edge_collection/inRegion.json <span style=\"color: #5bc0de; text-decoration-color: #5bc0de\">▰▰▱…</span> <span style=\"color: #808000; text-decoration-color: #808000\">0:0…</span>\n</pre>\n",
+                  "text/plain": "GET: https://arangodb-dataset-library-ml.s3.amazonaws.com/open_intelligence/edge_collection/inRegion.json \u001b[38;2;91;192;222m▰▰▱…\u001b[0m \u001b[33m0:0…\u001b[0m\n"
+                },
+                "metadata": {},
+                "output_type": "display_data"
+              }
+            ]
+          }
+        },
+        "01ecb9afdf5e4f1d86a62d600c621401": {
+          "model_module": "@jupyter-widgets/output",
           "model_module_version": "1.0.0",
+          "model_name": "OutputModel",
           "state": {
             "_dom_classes": [],
             "_model_module": "@jupyter-widgets/output",
@@ -6124,24 +6151,132 @@
             "_view_module": "@jupyter-widgets/output",
             "_view_module_version": "1.0.0",
             "_view_name": "OutputView",
-            "layout": "IPY_MODEL_eddd34db2d804dcf8bec541202e00305",
+            "layout": "IPY_MODEL_b04d48b009814255bec75e8815e9b8b2",
             "msg_id": "",
             "outputs": [
               {
-                "output_type": "display_data",
                 "data": {
-                  "text/plain": "GET: https://arangodb-dataset-library-ml.s3.amazonaws.com/root_metadata.json \u001b[38;2;91;192;222m▰▰▱▱▱▱▱\u001b[0m \u001b[33m0:00:00\u001b[0m\n",
-                  "text/html": "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">GET: https://arangodb-dataset-library-ml.s3.amazonaws.com/root_metadata.json <span style=\"color: #5bc0de; text-decoration-color: #5bc0de\">▰▰▱▱▱▱▱</span> <span style=\"color: #808000; text-decoration-color: #808000\">0:00:00</span>\n</pre>\n"
+                  "text/html": "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">GET: https://arangodb-dataset-library-ml.s3.amazonaws.com/open_intelligence/vertex_collection/Actor.json <span style=\"color: #5bc0de; text-decoration-color: #5bc0de\">▰▰▰…</span> <span style=\"color: #808000; text-decoration-color: #808000\">0:00…</span>\n</pre>\n",
+                  "text/plain": "GET: https://arangodb-dataset-library-ml.s3.amazonaws.com/open_intelligence/vertex_collection/Actor.json \u001b[38;2;91;192;222m▰▰▰…\u001b[0m \u001b[33m0:00…\u001b[0m\n"
                 },
-                "metadata": {}
+                "metadata": {},
+                "output_type": "display_data"
               }
             ]
           }
         },
-        "eddd34db2d804dcf8bec541202e00305": {
+        "0df0198bad8341e0b017d0a5039d6094": {
+          "model_module": "@jupyter-widgets/output",
+          "model_module_version": "1.0.0",
+          "model_name": "OutputModel",
+          "state": {
+            "_dom_classes": [],
+            "_model_module": "@jupyter-widgets/output",
+            "_model_module_version": "1.0.0",
+            "_model_name": "OutputModel",
+            "_view_count": null,
+            "_view_module": "@jupyter-widgets/output",
+            "_view_module_version": "1.0.0",
+            "_view_name": "OutputView",
+            "layout": "IPY_MODEL_6a6ca17c07f94dcab0bc3853e3e25e3e",
+            "msg_id": "",
+            "outputs": [
+              {
+                "data": {
+                  "text/html": "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">GET: https://arangodb-dataset-library-ml.s3.amazonaws.com/open_intelligence/vertex_collection/Event.json <span style=\"color: #5bc0de; text-decoration-color: #5bc0de\">▰▱▱…</span> <span style=\"color: #808000; text-decoration-color: #808000\">0:00…</span>\n</pre>\n",
+                  "text/plain": "GET: https://arangodb-dataset-library-ml.s3.amazonaws.com/open_intelligence/vertex_collection/Event.json \u001b[38;2;91;192;222m▰▱▱…\u001b[0m \u001b[33m0:00…\u001b[0m\n"
+                },
+                "metadata": {},
+                "output_type": "display_data"
+              }
+            ]
+          }
+        },
+        "13d8b76a4c3f443ca0dee631fd3959b0": {
+          "model_module": "@jupyter-widgets/output",
+          "model_module_version": "1.0.0",
+          "model_name": "OutputModel",
+          "state": {
+            "_dom_classes": [],
+            "_model_module": "@jupyter-widgets/output",
+            "_model_module_version": "1.0.0",
+            "_model_name": "OutputModel",
+            "_view_count": null,
+            "_view_module": "@jupyter-widgets/output",
+            "_view_module_version": "1.0.0",
+            "_view_name": "OutputView",
+            "layout": "IPY_MODEL_9af4fff0dbaa4cbdaed50a2d06859ad6",
+            "msg_id": "",
+            "outputs": [
+              {
+                "data": {
+                  "text/html": "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Collection: hasSource <span style=\"color: #5bc0de; text-decoration-color: #5bc0de\">▰▰▰▰▰▱▱</span> <span style=\"color: #808000; text-decoration-color: #808000\">0:00:04</span>\n</pre>\n",
+                  "text/plain": "Collection: hasSource \u001b[38;2;91;192;222m▰▰▰▰▰▱▱\u001b[0m \u001b[33m0:00:04\u001b[0m\n"
+                },
+                "metadata": {},
+                "output_type": "display_data"
+              }
+            ]
+          }
+        },
+        "147a5bd97280413eb9faa3058cb97d07": {
+          "model_module": "@jupyter-widgets/output",
+          "model_module_version": "1.0.0",
+          "model_name": "OutputModel",
+          "state": {
+            "_dom_classes": [],
+            "_model_module": "@jupyter-widgets/output",
+            "_model_module_version": "1.0.0",
+            "_model_name": "OutputModel",
+            "_view_count": null,
+            "_view_module": "@jupyter-widgets/output",
+            "_view_module_version": "1.0.0",
+            "_view_name": "OutputView",
+            "layout": "IPY_MODEL_87d7d473913245e685ca190c5fd19afd",
+            "msg_id": "",
+            "outputs": [
+              {
+                "data": {
+                  "text/html": "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">GET: https://arangodb-dataset-library-ml.s3.amazonaws.com/gameofthrones/vertex_collection/Characters.json <span style=\"color: #5bc0de; text-decoration-color: #5bc0de\">▰▰▰…</span> <span style=\"color: #808000; text-decoration-color: #808000\">0:0…</span>\n</pre>\n",
+                  "text/plain": "GET: https://arangodb-dataset-library-ml.s3.amazonaws.com/gameofthrones/vertex_collection/Characters.json \u001b[38;2;91;192;222m▰▰▰…\u001b[0m \u001b[33m0:0…\u001b[0m\n"
+                },
+                "metadata": {},
+                "output_type": "display_data"
+              }
+            ]
+          }
+        },
+        "14fc56900a6d4df99016f3473c6e0676": {
+          "model_module": "@jupyter-widgets/output",
+          "model_module_version": "1.0.0",
+          "model_name": "OutputModel",
+          "state": {
+            "_dom_classes": [],
+            "_model_module": "@jupyter-widgets/output",
+            "_model_module_version": "1.0.0",
+            "_model_name": "OutputModel",
+            "_view_count": null,
+            "_view_module": "@jupyter-widgets/output",
+            "_view_module_version": "1.0.0",
+            "_view_name": "OutputView",
+            "layout": "IPY_MODEL_4e7914d83ed64042b3998f915e6d829b",
+            "msg_id": "",
+            "outputs": [
+              {
+                "data": {
+                  "text/html": "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">GET: https://arangodb-dataset-library-ml.s3.amazonaws.com/open_intelligence/edge_collection/inCountry.json <span style=\"color: #5bc0de; text-decoration-color: #5bc0de\">▰▰…</span> <span style=\"color: #808000; text-decoration-color: #808000\">0:0…</span>\n</pre>\n",
+                  "text/plain": "GET: https://arangodb-dataset-library-ml.s3.amazonaws.com/open_intelligence/edge_collection/inCountry.json \u001b[38;2;91;192;222m▰▰…\u001b[0m \u001b[33m0:0…\u001b[0m\n"
+                },
+                "metadata": {},
+                "output_type": "display_data"
+              }
+            ]
+          }
+        },
+        "1929aaf08f4544edba0a08b91a489ce3": {
           "model_module": "@jupyter-widgets/base",
-          "model_name": "LayoutModel",
           "model_module_version": "1.2.0",
+          "model_name": "LayoutModel",
           "state": {
             "_model_module": "@jupyter-widgets/base",
             "_model_module_version": "1.2.0",
@@ -6190,10 +6325,37 @@
             "width": null
           }
         },
-        "147a5bd97280413eb9faa3058cb97d07": {
+        "1a72b4fda58948e0a2eb71bdc719a9ec": {
           "model_module": "@jupyter-widgets/output",
+          "model_module_version": "1.0.0",
           "model_name": "OutputModel",
+          "state": {
+            "_dom_classes": [],
+            "_model_module": "@jupyter-widgets/output",
+            "_model_module_version": "1.0.0",
+            "_model_name": "OutputModel",
+            "_view_count": null,
+            "_view_module": "@jupyter-widgets/output",
+            "_view_module_version": "1.0.0",
+            "_view_name": "OutputView",
+            "layout": "IPY_MODEL_731201f02f5c4472816523f311a5bbbd",
+            "msg_id": "",
+            "outputs": [
+              {
+                "data": {
+                  "text/html": "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">GET: https://arangodb-dataset-library-ml.s3.amazonaws.com/open_intelligence/edge_collection/hasLocation.json <span style=\"color: #5bc0de; text-decoration-color: #5bc0de\">▰…</span> <span style=\"color: #808000; text-decoration-color: #808000\">0:…</span>\n</pre>\n",
+                  "text/plain": "GET: https://arangodb-dataset-library-ml.s3.amazonaws.com/open_intelligence/edge_collection/hasLocation.json \u001b[38;2;91;192;222m▰…\u001b[0m \u001b[33m0:…\u001b[0m\n"
+                },
+                "metadata": {},
+                "output_type": "display_data"
+              }
+            ]
+          }
+        },
+        "1d1314830fc8414aab37de559cae3a7e": {
+          "model_module": "@jupyter-widgets/output",
           "model_module_version": "1.0.0",
+          "model_name": "OutputModel",
           "state": {
             "_dom_classes": [],
             "_model_module": "@jupyter-widgets/output",
@@ -6203,24 +6365,105 @@
             "_view_module": "@jupyter-widgets/output",
             "_view_module_version": "1.0.0",
             "_view_name": "OutputView",
-            "layout": "IPY_MODEL_87d7d473913245e685ca190c5fd19afd",
+            "layout": "IPY_MODEL_2204c3cd02fb44a8893193aa436ce237",
             "msg_id": "",
             "outputs": [
               {
-                "output_type": "display_data",
                 "data": {
-                  "text/plain": "GET: https://arangodb-dataset-library-ml.s3.amazonaws.com/gameofthrones/vertex_collection/Characters.json \u001b[38;2;91;192;222m▰▰▰…\u001b[0m \u001b[33m0:0…\u001b[0m\n",
-                  "text/html": "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">GET: https://arangodb-dataset-library-ml.s3.amazonaws.com/gameofthrones/vertex_collection/Characters.json <span style=\"color: #5bc0de; text-decoration-color: #5bc0de\">▰▰▰…</span> <span style=\"color: #808000; text-decoration-color: #808000\">0:0…</span>\n</pre>\n"
+                  "text/html": "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Collection: Source <span style=\"color: #5bc0de; text-decoration-color: #5bc0de\">▰▰▰▱▱▱▱</span> <span style=\"color: #808000; text-decoration-color: #808000\">0:00:00</span>\n</pre>\n",
+                  "text/plain": "Collection: Source \u001b[38;2;91;192;222m▰▰▰▱▱▱▱\u001b[0m \u001b[33m0:00:00\u001b[0m\n"
                 },
-                "metadata": {}
+                "metadata": {},
+                "output_type": "display_data"
               }
             ]
           }
         },
-        "87d7d473913245e685ca190c5fd19afd": {
+        "1e2cac77fa2e43afb98d6d9bde57741b": {
+          "model_module": "@jupyter-widgets/output",
+          "model_module_version": "1.0.0",
+          "model_name": "OutputModel",
+          "state": {
+            "_dom_classes": [],
+            "_model_module": "@jupyter-widgets/output",
+            "_model_module_version": "1.0.0",
+            "_model_name": "OutputModel",
+            "_view_count": null,
+            "_view_module": "@jupyter-widgets/output",
+            "_view_module_version": "1.0.0",
+            "_view_name": "OutputView",
+            "layout": "IPY_MODEL_830a7c760c3a43ee8ee40c1e06798a14",
+            "msg_id": "",
+            "outputs": [
+              {
+                "data": {
+                  "text/html": "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Collection: Class <span style=\"color: #5bc0de; text-decoration-color: #5bc0de\">▰▱▱▱▱▱▱</span> <span style=\"color: #808000; text-decoration-color: #808000\">0:00:00</span>\n</pre>\n",
+                  "text/plain": "Collection: Class \u001b[38;2;91;192;222m▰▱▱▱▱▱▱\u001b[0m \u001b[33m0:00:00\u001b[0m\n"
+                },
+                "metadata": {},
+                "output_type": "display_data"
+              }
+            ]
+          }
+        },
+        "20d76c9bdcfd4cbebd03b49b2265fa15": {
+          "model_module": "@jupyter-widgets/output",
+          "model_module_version": "1.0.0",
+          "model_name": "OutputModel",
+          "state": {
+            "_dom_classes": [],
+            "_model_module": "@jupyter-widgets/output",
+            "_model_module_version": "1.0.0",
+            "_model_name": "OutputModel",
+            "_view_count": null,
+            "_view_module": "@jupyter-widgets/output",
+            "_view_module_version": "1.0.0",
+            "_view_name": "OutputView",
+            "layout": "IPY_MODEL_54da99ce57ce418bae748462b7f75097",
+            "msg_id": "",
+            "outputs": [
+              {
+                "data": {
+                  "text/html": "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">GET: https://arangodb-dataset-library-ml.s3.amazonaws.com/open_intelligence/edge_collection/subClass.json <span style=\"color: #5bc0de; text-decoration-color: #5bc0de\">▰▰▱…</span> <span style=\"color: #808000; text-decoration-color: #808000\">0:0…</span>\n</pre>\n",
+                  "text/plain": "GET: https://arangodb-dataset-library-ml.s3.amazonaws.com/open_intelligence/edge_collection/subClass.json \u001b[38;2;91;192;222m▰▰▱…\u001b[0m \u001b[33m0:0…\u001b[0m\n"
+                },
+                "metadata": {},
+                "output_type": "display_data"
+              }
+            ]
+          }
+        },
+        "21cf9ccaa27f46bfa338e8e763e93fff": {
+          "model_module": "@jupyter-widgets/output",
+          "model_module_version": "1.0.0",
+          "model_name": "OutputModel",
+          "state": {
+            "_dom_classes": [],
+            "_model_module": "@jupyter-widgets/output",
+            "_model_module_version": "1.0.0",
+            "_model_name": "OutputModel",
+            "_view_count": null,
+            "_view_module": "@jupyter-widgets/output",
+            "_view_module_version": "1.0.0",
+            "_view_name": "OutputView",
+            "layout": "IPY_MODEL_3cda846de799490fa17347b6df055779",
+            "msg_id": "",
+            "outputs": [
+              {
+                "data": {
+                  "text/html": "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Collection: inRegion <span style=\"color: #5bc0de; text-decoration-color: #5bc0de\">▰▱▱▱▱▱▱</span> <span style=\"color: #808000; text-decoration-color: #808000\">0:00:00</span>\n</pre>\n",
+                  "text/plain": "Collection: inRegion \u001b[38;2;91;192;222m▰▱▱▱▱▱▱\u001b[0m \u001b[33m0:00:00\u001b[0m\n"
+                },
+                "metadata": {},
+                "output_type": "display_data"
+              }
+            ]
+          }
+        },
+        "2204c3cd02fb44a8893193aa436ce237": {
           "model_module": "@jupyter-widgets/base",
-          "model_name": "LayoutModel",
           "model_module_version": "1.2.0",
+          "model_name": "LayoutModel",
           "state": {
             "_model_module": "@jupyter-widgets/base",
             "_model_module_version": "1.2.0",
@@ -6269,37 +6512,10 @@
             "width": null
           }
         },
-        "9c719713b7f84b5bbc9c3b93ae018025": {
-          "model_module": "@jupyter-widgets/output",
-          "model_name": "OutputModel",
-          "model_module_version": "1.0.0",
-          "state": {
-            "_dom_classes": [],
-            "_model_module": "@jupyter-widgets/output",
-            "_model_module_version": "1.0.0",
-            "_model_name": "OutputModel",
-            "_view_count": null,
-            "_view_module": "@jupyter-widgets/output",
-            "_view_module_version": "1.0.0",
-            "_view_name": "OutputView",
-            "layout": "IPY_MODEL_ade3d0b0a6de40ce83e27e7385cf728d",
-            "msg_id": "",
-            "outputs": [
-              {
-                "output_type": "display_data",
-                "data": {
-                  "text/plain": "Collection: Characters \u001b[38;2;91;192;222m▰▱▱▱▱▱▱\u001b[0m \u001b[33m0:00:00\u001b[0m\n",
-                  "text/html": "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Collection: Characters <span style=\"color: #5bc0de; text-decoration-color: #5bc0de\">▰▱▱▱▱▱▱</span> <span style=\"color: #808000; text-decoration-color: #808000\">0:00:00</span>\n</pre>\n"
-                },
-                "metadata": {}
-              }
-            ]
-          }
-        },
-        "ade3d0b0a6de40ce83e27e7385cf728d": {
+        "287733dd66da40ccbc7933737b98e7c7": {
           "model_module": "@jupyter-widgets/base",
-          "model_name": "LayoutModel",
           "model_module_version": "1.2.0",
+          "model_name": "LayoutModel",
           "state": {
             "_model_module": "@jupyter-widgets/base",
             "_model_module_version": "1.2.0",
@@ -6348,10 +6564,91 @@
             "width": null
           }
         },
-        "e75b133f77c440c3a5fd22971d759f5e": {
+        "2cb2acb201a04ec89f524003e4bf86d0": {
+          "model_module": "@jupyter-widgets/output",
+          "model_module_version": "1.0.0",
+          "model_name": "OutputModel",
+          "state": {
+            "_dom_classes": [],
+            "_model_module": "@jupyter-widgets/output",
+            "_model_module_version": "1.0.0",
+            "_model_name": "OutputModel",
+            "_view_count": null,
+            "_view_module": "@jupyter-widgets/output",
+            "_view_module_version": "1.0.0",
+            "_view_name": "OutputView",
+            "layout": "IPY_MODEL_8dd40f435d1749e2be2cd59527d144d8",
+            "msg_id": "",
+            "outputs": [
+              {
+                "data": {
+                  "text/html": "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">GET: https://arangodb-dataset-library-ml.s3.amazonaws.com/open_intelligence/vertex_collection/Source.json <span style=\"color: #5bc0de; text-decoration-color: #5bc0de\">▰▰▰…</span> <span style=\"color: #808000; text-decoration-color: #808000\">0:0…</span>\n</pre>\n",
+                  "text/plain": "GET: https://arangodb-dataset-library-ml.s3.amazonaws.com/open_intelligence/vertex_collection/Source.json \u001b[38;2;91;192;222m▰▰▰…\u001b[0m \u001b[33m0:0…\u001b[0m\n"
+                },
+                "metadata": {},
+                "output_type": "display_data"
+              }
+            ]
+          }
+        },
+        "2e28383458f6415bb6726ba7a340b727": {
+          "model_module": "@jupyter-widgets/output",
+          "model_module_version": "1.0.0",
+          "model_name": "OutputModel",
+          "state": {
+            "_dom_classes": [],
+            "_model_module": "@jupyter-widgets/output",
+            "_model_module_version": "1.0.0",
+            "_model_name": "OutputModel",
+            "_view_count": null,
+            "_view_module": "@jupyter-widgets/output",
+            "_view_module_version": "1.0.0",
+            "_view_name": "OutputView",
+            "layout": "IPY_MODEL_bd5d1c41edac4817a435116142b6993f",
+            "msg_id": "",
+            "outputs": [
+              {
+                "data": {
+                  "text/html": "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">GET: https://arangodb-dataset-library-ml.s3.amazonaws.com/open_intelligence/edge_collection/type.json <span style=\"color: #5bc0de; text-decoration-color: #5bc0de\">▰▰▱▱▱…</span> <span style=\"color: #808000; text-decoration-color: #808000\">0:00:…</span>\n</pre>\n",
+                  "text/plain": "GET: https://arangodb-dataset-library-ml.s3.amazonaws.com/open_intelligence/edge_collection/type.json \u001b[38;2;91;192;222m▰▰▱▱▱…\u001b[0m \u001b[33m0:00:…\u001b[0m\n"
+                },
+                "metadata": {},
+                "output_type": "display_data"
+              }
+            ]
+          }
+        },
+        "316e150ba0c24fc5bdd4d447c994be7d": {
+          "model_module": "@jupyter-widgets/output",
+          "model_module_version": "1.0.0",
+          "model_name": "OutputModel",
+          "state": {
+            "_dom_classes": [],
+            "_model_module": "@jupyter-widgets/output",
+            "_model_module_version": "1.0.0",
+            "_model_name": "OutputModel",
+            "_view_count": null,
+            "_view_module": "@jupyter-widgets/output",
+            "_view_module_version": "1.0.0",
+            "_view_name": "OutputView",
+            "layout": "IPY_MODEL_4083fa5e3357412880cde9e48023539a",
+            "msg_id": "",
+            "outputs": [
+              {
+                "data": {
+                  "text/html": "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Collection: ChildOf <span style=\"color: #5bc0de; text-decoration-color: #5bc0de\">▰▱▱▱▱▱▱</span> <span style=\"color: #808000; text-decoration-color: #808000\">0:00:00</span>\n</pre>\n",
+                  "text/plain": "Collection: ChildOf \u001b[38;2;91;192;222m▰▱▱▱▱▱▱\u001b[0m \u001b[33m0:00:00\u001b[0m\n"
+                },
+                "metadata": {},
+                "output_type": "display_data"
+              }
+            ]
+          }
+        },
+        "33dc2087089d47888368b9d5a08e8065": {
           "model_module": "@jupyter-widgets/output",
-          "model_name": "OutputModel",
           "model_module_version": "1.0.0",
+          "model_name": "OutputModel",
           "state": {
             "_dom_classes": [],
             "_model_module": "@jupyter-widgets/output",
@@ -6361,24 +6658,24 @@
             "_view_module": "@jupyter-widgets/output",
             "_view_module_version": "1.0.0",
             "_view_name": "OutputView",
-            "layout": "IPY_MODEL_47d55e09f93f4adab47035b886f77e72",
+            "layout": "IPY_MODEL_287733dd66da40ccbc7933737b98e7c7",
             "msg_id": "",
             "outputs": [
               {
-                "output_type": "display_data",
                 "data": {
-                  "text/plain": "GET: https://arangodb-dataset-library-ml.s3.amazonaws.com/gameofthrones/edge_collection/ChildOf.json \u001b[38;2;91;192;222m▰▰▰▱▱…\u001b[0m \u001b[33m0:00:00\u001b[0m\n",
-                  "text/html": "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">GET: https://arangodb-dataset-library-ml.s3.amazonaws.com/gameofthrones/edge_collection/ChildOf.json <span style=\"color: #5bc0de; text-decoration-color: #5bc0de\">▰▰▰▱▱…</span> <span style=\"color: #808000; text-decoration-color: #808000\">0:00:00</span>\n</pre>\n"
+                  "text/html": "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Collection: subClass <span style=\"color: #5bc0de; text-decoration-color: #5bc0de\">▰▱▱▱▱▱▱</span> <span style=\"color: #808000; text-decoration-color: #808000\">0:00:00</span>\n</pre>\n",
+                  "text/plain": "Collection: subClass \u001b[38;2;91;192;222m▰▱▱▱▱▱▱\u001b[0m \u001b[33m0:00:00\u001b[0m\n"
                 },
-                "metadata": {}
+                "metadata": {},
+                "output_type": "display_data"
               }
             ]
           }
         },
-        "47d55e09f93f4adab47035b886f77e72": {
+        "35dcc210e7df45b0aea55852fcf02466": {
           "model_module": "@jupyter-widgets/base",
-          "model_name": "LayoutModel",
           "model_module_version": "1.2.0",
+          "model_name": "LayoutModel",
           "state": {
             "_model_module": "@jupyter-widgets/base",
             "_model_module_version": "1.2.0",
@@ -6427,37 +6724,10 @@
             "width": null
           }
         },
-        "316e150ba0c24fc5bdd4d447c994be7d": {
-          "model_module": "@jupyter-widgets/output",
-          "model_name": "OutputModel",
-          "model_module_version": "1.0.0",
-          "state": {
-            "_dom_classes": [],
-            "_model_module": "@jupyter-widgets/output",
-            "_model_module_version": "1.0.0",
-            "_model_name": "OutputModel",
-            "_view_count": null,
-            "_view_module": "@jupyter-widgets/output",
-            "_view_module_version": "1.0.0",
-            "_view_name": "OutputView",
-            "layout": "IPY_MODEL_4083fa5e3357412880cde9e48023539a",
-            "msg_id": "",
-            "outputs": [
-              {
-                "output_type": "display_data",
-                "data": {
-                  "text/plain": "Collection: ChildOf \u001b[38;2;91;192;222m▰▱▱▱▱▱▱\u001b[0m \u001b[33m0:00:00\u001b[0m\n",
-                  "text/html": "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Collection: ChildOf <span style=\"color: #5bc0de; text-decoration-color: #5bc0de\">▰▱▱▱▱▱▱</span> <span style=\"color: #808000; text-decoration-color: #808000\">0:00:00</span>\n</pre>\n"
-                },
-                "metadata": {}
-              }
-            ]
-          }
-        },
-        "4083fa5e3357412880cde9e48023539a": {
+        "36da2525b19847e1addebd4a26b6979f": {
           "model_module": "@jupyter-widgets/base",
-          "model_name": "LayoutModel",
           "model_module_version": "1.2.0",
+          "model_name": "LayoutModel",
           "state": {
             "_model_module": "@jupyter-widgets/base",
             "_model_module_version": "1.2.0",
@@ -6506,37 +6776,10 @@
             "width": null
           }
         },
-        "787cd3d8813d4515ad7e138aaa49ff8c": {
-          "model_module": "@jupyter-widgets/output",
-          "model_name": "OutputModel",
-          "model_module_version": "1.0.0",
-          "state": {
-            "_dom_classes": [],
-            "_model_module": "@jupyter-widgets/output",
-            "_model_module_version": "1.0.0",
-            "_model_name": "OutputModel",
-            "_view_count": null,
-            "_view_module": "@jupyter-widgets/output",
-            "_view_module_version": "1.0.0",
-            "_view_name": "OutputView",
-            "layout": "IPY_MODEL_3afc205fe9b840258b7b0656665551b1",
-            "msg_id": "",
-            "outputs": [
-              {
-                "output_type": "display_data",
-                "data": {
-                  "text/plain": "GET: https://arangodb-dataset-library-ml.s3.amazonaws.com/root_metadata.json \u001b[38;2;91;192;222m▰▰▰▱▱▱▱\u001b[0m \u001b[33m0:00:00\u001b[0m\n",
-                  "text/html": "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">GET: https://arangodb-dataset-library-ml.s3.amazonaws.com/root_metadata.json <span style=\"color: #5bc0de; text-decoration-color: #5bc0de\">▰▰▰▱▱▱▱</span> <span style=\"color: #808000; text-decoration-color: #808000\">0:00:00</span>\n</pre>\n"
-                },
-                "metadata": {}
-              }
-            ]
-          }
-        },
-        "3afc205fe9b840258b7b0656665551b1": {
+        "38c9a48129e24829a96d566785a6688c": {
           "model_module": "@jupyter-widgets/base",
-          "model_name": "LayoutModel",
           "model_module_version": "1.2.0",
+          "model_name": "LayoutModel",
           "state": {
             "_model_module": "@jupyter-widgets/base",
             "_model_module_version": "1.2.0",
@@ -6585,37 +6828,10 @@
             "width": null
           }
         },
-        "01ecb9afdf5e4f1d86a62d600c621401": {
-          "model_module": "@jupyter-widgets/output",
-          "model_name": "OutputModel",
-          "model_module_version": "1.0.0",
-          "state": {
-            "_dom_classes": [],
-            "_model_module": "@jupyter-widgets/output",
-            "_model_module_version": "1.0.0",
-            "_model_name": "OutputModel",
-            "_view_count": null,
-            "_view_module": "@jupyter-widgets/output",
-            "_view_module_version": "1.0.0",
-            "_view_name": "OutputView",
-            "layout": "IPY_MODEL_b04d48b009814255bec75e8815e9b8b2",
-            "msg_id": "",
-            "outputs": [
-              {
-                "output_type": "display_data",
-                "data": {
-                  "text/plain": "GET: https://arangodb-dataset-library-ml.s3.amazonaws.com/open_intelligence/vertex_collection/Actor.json \u001b[38;2;91;192;222m▰▰▰…\u001b[0m \u001b[33m0:00…\u001b[0m\n",
-                  "text/html": "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">GET: https://arangodb-dataset-library-ml.s3.amazonaws.com/open_intelligence/vertex_collection/Actor.json <span style=\"color: #5bc0de; text-decoration-color: #5bc0de\">▰▰▰…</span> <span style=\"color: #808000; text-decoration-color: #808000\">0:00…</span>\n</pre>\n"
-                },
-                "metadata": {}
-              }
-            ]
-          }
-        },
-        "b04d48b009814255bec75e8815e9b8b2": {
+        "3afc205fe9b840258b7b0656665551b1": {
           "model_module": "@jupyter-widgets/base",
-          "model_name": "LayoutModel",
           "model_module_version": "1.2.0",
+          "model_name": "LayoutModel",
           "state": {
             "_model_module": "@jupyter-widgets/base",
             "_model_module_version": "1.2.0",
@@ -6664,37 +6880,10 @@
             "width": null
           }
         },
-        "dfc2dccaaf704fc8ab98d084161f8d6f": {
-          "model_module": "@jupyter-widgets/output",
-          "model_name": "OutputModel",
-          "model_module_version": "1.0.0",
-          "state": {
-            "_dom_classes": [],
-            "_model_module": "@jupyter-widgets/output",
-            "_model_module_version": "1.0.0",
-            "_model_name": "OutputModel",
-            "_view_count": null,
-            "_view_module": "@jupyter-widgets/output",
-            "_view_module_version": "1.0.0",
-            "_view_name": "OutputView",
-            "layout": "IPY_MODEL_35dcc210e7df45b0aea55852fcf02466",
-            "msg_id": "",
-            "outputs": [
-              {
-                "output_type": "display_data",
-                "data": {
-                  "text/plain": "Collection: Actor \u001b[38;2;91;192;222m▰▰▱▱▱▱▱\u001b[0m \u001b[33m0:00:00\u001b[0m\n",
-                  "text/html": "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Collection: Actor <span style=\"color: #5bc0de; text-decoration-color: #5bc0de\">▰▰▱▱▱▱▱</span> <span style=\"color: #808000; text-decoration-color: #808000\">0:00:00</span>\n</pre>\n"
-                },
-                "metadata": {}
-              }
-            ]
-          }
-        },
-        "35dcc210e7df45b0aea55852fcf02466": {
+        "3cda846de799490fa17347b6df055779": {
           "model_module": "@jupyter-widgets/base",
-          "model_name": "LayoutModel",
           "model_module_version": "1.2.0",
+          "model_name": "LayoutModel",
           "state": {
             "_model_module": "@jupyter-widgets/base",
             "_model_module_version": "1.2.0",
@@ -6743,10 +6932,10 @@
             "width": null
           }
         },
-        "c0298c61e6564c70900ed485a332f104": {
+        "3fd66aca0de4489788c231af73a8dc9f": {
           "model_module": "@jupyter-widgets/output",
-          "model_name": "OutputModel",
           "model_module_version": "1.0.0",
+          "model_name": "OutputModel",
           "state": {
             "_dom_classes": [],
             "_model_module": "@jupyter-widgets/output",
@@ -6756,24 +6945,24 @@
             "_view_module": "@jupyter-widgets/output",
             "_view_module_version": "1.0.0",
             "_view_name": "OutputView",
-            "layout": "IPY_MODEL_ce7a6a346cac4456aaad509590b84445",
+            "layout": "IPY_MODEL_bf1f854832fe4ddabaea0090c9bf1916",
             "msg_id": "",
             "outputs": [
               {
-                "output_type": "display_data",
                 "data": {
-                  "text/plain": "GET: https://arangodb-dataset-library-ml.s3.amazonaws.com/open_intelligence/vertex_collection/Class.json \u001b[38;2;91;192;222m▰▰▰…\u001b[0m \u001b[33m0:00…\u001b[0m\n",
-                  "text/html": "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">GET: https://arangodb-dataset-library-ml.s3.amazonaws.com/open_intelligence/vertex_collection/Class.json <span style=\"color: #5bc0de; text-decoration-color: #5bc0de\">▰▰▰…</span> <span style=\"color: #808000; text-decoration-color: #808000\">0:00…</span>\n</pre>\n"
+                  "text/html": "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Collection: Location <span style=\"color: #5bc0de; text-decoration-color: #5bc0de\">▰▰▰▰▰▰▱</span> <span style=\"color: #808000; text-decoration-color: #808000\">0:00:00</span>\n</pre>\n",
+                  "text/plain": "Collection: Location \u001b[38;2;91;192;222m▰▰▰▰▰▰▱\u001b[0m \u001b[33m0:00:00\u001b[0m\n"
                 },
-                "metadata": {}
+                "metadata": {},
+                "output_type": "display_data"
               }
             ]
           }
         },
-        "ce7a6a346cac4456aaad509590b84445": {
+        "4083fa5e3357412880cde9e48023539a": {
           "model_module": "@jupyter-widgets/base",
-          "model_name": "LayoutModel",
           "model_module_version": "1.2.0",
+          "model_name": "LayoutModel",
           "state": {
             "_model_module": "@jupyter-widgets/base",
             "_model_module_version": "1.2.0",
@@ -6822,10 +7011,10 @@
             "width": null
           }
         },
-        "1e2cac77fa2e43afb98d6d9bde57741b": {
+        "443b07aa182d4fa08755353991442776": {
           "model_module": "@jupyter-widgets/output",
-          "model_name": "OutputModel",
           "model_module_version": "1.0.0",
+          "model_name": "OutputModel",
           "state": {
             "_dom_classes": [],
             "_model_module": "@jupyter-widgets/output",
@@ -6835,24 +7024,24 @@
             "_view_module": "@jupyter-widgets/output",
             "_view_module_version": "1.0.0",
             "_view_name": "OutputView",
-            "layout": "IPY_MODEL_830a7c760c3a43ee8ee40c1e06798a14",
+            "layout": "IPY_MODEL_a43fd065c67041a183df402874c30020",
             "msg_id": "",
             "outputs": [
               {
-                "output_type": "display_data",
                 "data": {
-                  "text/plain": "Collection: Class \u001b[38;2;91;192;222m▰▱▱▱▱▱▱\u001b[0m \u001b[33m0:00:00\u001b[0m\n",
-                  "text/html": "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Collection: Class <span style=\"color: #5bc0de; text-decoration-color: #5bc0de\">▰▱▱▱▱▱▱</span> <span style=\"color: #808000; text-decoration-color: #808000\">0:00:00</span>\n</pre>\n"
+                  "text/html": "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">GET: https://arangodb-dataset-library-ml.s3.amazonaws.com/open_intelligence/vertex_collection/Region.json <span style=\"color: #5bc0de; text-decoration-color: #5bc0de\">▰▰▱…</span> <span style=\"color: #808000; text-decoration-color: #808000\">0:0…</span>\n</pre>\n",
+                  "text/plain": "GET: https://arangodb-dataset-library-ml.s3.amazonaws.com/open_intelligence/vertex_collection/Region.json \u001b[38;2;91;192;222m▰▰▱…\u001b[0m \u001b[33m0:0…\u001b[0m\n"
                 },
-                "metadata": {}
+                "metadata": {},
+                "output_type": "display_data"
               }
             ]
           }
         },
-        "830a7c760c3a43ee8ee40c1e06798a14": {
+        "47d55e09f93f4adab47035b886f77e72": {
           "model_module": "@jupyter-widgets/base",
-          "model_name": "LayoutModel",
           "model_module_version": "1.2.0",
+          "model_name": "LayoutModel",
           "state": {
             "_model_module": "@jupyter-widgets/base",
             "_model_module_version": "1.2.0",
@@ -6901,10 +7090,37 @@
             "width": null
           }
         },
-        "6c719cccc182418b9060b951bf88fd2b": {
+        "48f34d7821774273bcc072e2168344fb": {
           "model_module": "@jupyter-widgets/output",
+          "model_module_version": "1.0.0",
           "model_name": "OutputModel",
+          "state": {
+            "_dom_classes": [],
+            "_model_module": "@jupyter-widgets/output",
+            "_model_module_version": "1.0.0",
+            "_model_name": "OutputModel",
+            "_view_count": null,
+            "_view_module": "@jupyter-widgets/output",
+            "_view_module_version": "1.0.0",
+            "_view_name": "OutputView",
+            "layout": "IPY_MODEL_36da2525b19847e1addebd4a26b6979f",
+            "msg_id": "",
+            "outputs": [
+              {
+                "data": {
+                  "text/html": "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Collection: Region <span style=\"color: #5bc0de; text-decoration-color: #5bc0de\">▰▱▱▱▱▱▱</span> <span style=\"color: #808000; text-decoration-color: #808000\">0:00:00</span>\n</pre>\n",
+                  "text/plain": "Collection: Region \u001b[38;2;91;192;222m▰▱▱▱▱▱▱\u001b[0m \u001b[33m0:00:00\u001b[0m\n"
+                },
+                "metadata": {},
+                "output_type": "display_data"
+              }
+            ]
+          }
+        },
+        "4ab7df5989f445dabe4657d07f7b97b9": {
+          "model_module": "@jupyter-widgets/output",
           "model_module_version": "1.0.0",
+          "model_name": "OutputModel",
           "state": {
             "_dom_classes": [],
             "_model_module": "@jupyter-widgets/output",
@@ -6914,24 +7130,24 @@
             "_view_module": "@jupyter-widgets/output",
             "_view_module_version": "1.0.0",
             "_view_name": "OutputView",
-            "layout": "IPY_MODEL_7a8655bc8c3b46fc9a2909cf670e9064",
+            "layout": "IPY_MODEL_bd9d20ef71c24856889a0e876754e627",
             "msg_id": "",
             "outputs": [
               {
-                "output_type": "display_data",
                 "data": {
-                  "text/plain": "GET: https://arangodb-dataset-library-ml.s3.amazonaws.com/open_intelligence/vertex_collection/Country.json \u001b[38;2;91;192;222m▰▰…\u001b[0m \u001b[33m0:0…\u001b[0m\n",
-                  "text/html": "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">GET: https://arangodb-dataset-library-ml.s3.amazonaws.com/open_intelligence/vertex_collection/Country.json <span style=\"color: #5bc0de; text-decoration-color: #5bc0de\">▰▰…</span> <span style=\"color: #808000; text-decoration-color: #808000\">0:0…</span>\n</pre>\n"
+                  "text/html": "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Collection: Event <span style=\"color: #5bc0de; text-decoration-color: #5bc0de\">▰▰▰▰▰▰▱</span> <span style=\"color: #808000; text-decoration-color: #808000\">0:00:04</span>\n</pre>\n",
+                  "text/plain": "Collection: Event \u001b[38;2;91;192;222m▰▰▰▰▰▰▱\u001b[0m \u001b[33m0:00:04\u001b[0m\n"
                 },
-                "metadata": {}
+                "metadata": {},
+                "output_type": "display_data"
               }
             ]
           }
         },
-        "7a8655bc8c3b46fc9a2909cf670e9064": {
+        "4d3c7dbf69da4fb499307835431b6a09": {
           "model_module": "@jupyter-widgets/base",
-          "model_name": "LayoutModel",
           "model_module_version": "1.2.0",
+          "model_name": "LayoutModel",
           "state": {
             "_model_module": "@jupyter-widgets/base",
             "_model_module_version": "1.2.0",
@@ -6980,37 +7196,10 @@
             "width": null
           }
         },
-        "a9245b5e66fc4c808bb3beec6c3a99f8": {
-          "model_module": "@jupyter-widgets/output",
-          "model_name": "OutputModel",
-          "model_module_version": "1.0.0",
-          "state": {
-            "_dom_classes": [],
-            "_model_module": "@jupyter-widgets/output",
-            "_model_module_version": "1.0.0",
-            "_model_name": "OutputModel",
-            "_view_count": null,
-            "_view_module": "@jupyter-widgets/output",
-            "_view_module_version": "1.0.0",
-            "_view_name": "OutputView",
-            "layout": "IPY_MODEL_38c9a48129e24829a96d566785a6688c",
-            "msg_id": "",
-            "outputs": [
-              {
-                "output_type": "display_data",
-                "data": {
-                  "text/plain": "Collection: Country \u001b[38;2;91;192;222m▰▱▱▱▱▱▱\u001b[0m \u001b[33m0:00:00\u001b[0m\n",
-                  "text/html": "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Collection: Country <span style=\"color: #5bc0de; text-decoration-color: #5bc0de\">▰▱▱▱▱▱▱</span> <span style=\"color: #808000; text-decoration-color: #808000\">0:00:00</span>\n</pre>\n"
-                },
-                "metadata": {}
-              }
-            ]
-          }
-        },
-        "38c9a48129e24829a96d566785a6688c": {
+        "4e7914d83ed64042b3998f915e6d829b": {
           "model_module": "@jupyter-widgets/base",
-          "model_name": "LayoutModel",
           "model_module_version": "1.2.0",
+          "model_name": "LayoutModel",
           "state": {
             "_model_module": "@jupyter-widgets/base",
             "_model_module_version": "1.2.0",
@@ -7059,37 +7248,10 @@
             "width": null
           }
         },
-        "0df0198bad8341e0b017d0a5039d6094": {
-          "model_module": "@jupyter-widgets/output",
-          "model_name": "OutputModel",
-          "model_module_version": "1.0.0",
-          "state": {
-            "_dom_classes": [],
-            "_model_module": "@jupyter-widgets/output",
-            "_model_module_version": "1.0.0",
-            "_model_name": "OutputModel",
-            "_view_count": null,
-            "_view_module": "@jupyter-widgets/output",
-            "_view_module_version": "1.0.0",
-            "_view_name": "OutputView",
-            "layout": "IPY_MODEL_6a6ca17c07f94dcab0bc3853e3e25e3e",
-            "msg_id": "",
-            "outputs": [
-              {
-                "output_type": "display_data",
-                "data": {
-                  "text/plain": "GET: https://arangodb-dataset-library-ml.s3.amazonaws.com/open_intelligence/vertex_collection/Event.json \u001b[38;2;91;192;222m▰▱▱…\u001b[0m \u001b[33m0:00…\u001b[0m\n",
-                  "text/html": "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">GET: https://arangodb-dataset-library-ml.s3.amazonaws.com/open_intelligence/vertex_collection/Event.json <span style=\"color: #5bc0de; text-decoration-color: #5bc0de\">▰▱▱…</span> <span style=\"color: #808000; text-decoration-color: #808000\">0:00…</span>\n</pre>\n"
-                },
-                "metadata": {}
-              }
-            ]
-          }
-        },
-        "6a6ca17c07f94dcab0bc3853e3e25e3e": {
+        "54da99ce57ce418bae748462b7f75097": {
           "model_module": "@jupyter-widgets/base",
-          "model_name": "LayoutModel",
           "model_module_version": "1.2.0",
+          "model_name": "LayoutModel",
           "state": {
             "_model_module": "@jupyter-widgets/base",
             "_model_module_version": "1.2.0",
@@ -7138,10 +7300,10 @@
             "width": null
           }
         },
-        "4ab7df5989f445dabe4657d07f7b97b9": {
+        "5f528fd15f944d44acf9df355dd3f585": {
           "model_module": "@jupyter-widgets/output",
-          "model_name": "OutputModel",
           "model_module_version": "1.0.0",
+          "model_name": "OutputModel",
           "state": {
             "_dom_classes": [],
             "_model_module": "@jupyter-widgets/output",
@@ -7151,24 +7313,24 @@
             "_view_module": "@jupyter-widgets/output",
             "_view_module_version": "1.0.0",
             "_view_name": "OutputView",
-            "layout": "IPY_MODEL_bd9d20ef71c24856889a0e876754e627",
+            "layout": "IPY_MODEL_e19611b67f1248e7935fb7943fc79dc2",
             "msg_id": "",
             "outputs": [
               {
-                "output_type": "display_data",
                 "data": {
-                  "text/plain": "Collection: Event \u001b[38;2;91;192;222m▰▰▰▰▰▰▱\u001b[0m \u001b[33m0:00:04\u001b[0m\n",
-                  "text/html": "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Collection: Event <span style=\"color: #5bc0de; text-decoration-color: #5bc0de\">▰▰▰▰▰▰▱</span> <span style=\"color: #808000; text-decoration-color: #808000\">0:00:04</span>\n</pre>\n"
+                  "text/html": "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Collection: type <span style=\"color: #5bc0de; text-decoration-color: #5bc0de\">▰▰▰▰▱▱▱</span> <span style=\"color: #808000; text-decoration-color: #808000\">0:00:04</span>\n</pre>\n",
+                  "text/plain": "Collection: type \u001b[38;2;91;192;222m▰▰▰▰▱▱▱\u001b[0m \u001b[33m0:00:04\u001b[0m\n"
                 },
-                "metadata": {}
+                "metadata": {},
+                "output_type": "display_data"
               }
             ]
           }
         },
-        "bd9d20ef71c24856889a0e876754e627": {
+        "6072ffb0bfc9471ba8227137be406b1b": {
           "model_module": "@jupyter-widgets/base",
-          "model_name": "LayoutModel",
           "model_module_version": "1.2.0",
+          "model_name": "LayoutModel",
           "state": {
             "_model_module": "@jupyter-widgets/base",
             "_model_module_version": "1.2.0",
@@ -7217,37 +7379,10 @@
             "width": null
           }
         },
-        "d714f473459c4087aca075d7e41b0361": {
-          "model_module": "@jupyter-widgets/output",
-          "model_name": "OutputModel",
-          "model_module_version": "1.0.0",
-          "state": {
-            "_dom_classes": [],
-            "_model_module": "@jupyter-widgets/output",
-            "_model_module_version": "1.0.0",
-            "_model_name": "OutputModel",
-            "_view_count": null,
-            "_view_module": "@jupyter-widgets/output",
-            "_view_module_version": "1.0.0",
-            "_view_name": "OutputView",
-            "layout": "IPY_MODEL_65ec933ff80e445d9faefe0b6de2794e",
-            "msg_id": "",
-            "outputs": [
-              {
-                "output_type": "display_data",
-                "data": {
-                  "text/plain": "GET: https://arangodb-dataset-library-ml.s3.amazonaws.com/open_intelligence/vertex_collection/Location.json \u001b[38;2;91;192;222m▰…\u001b[0m \u001b[33m0:0…\u001b[0m\n",
-                  "text/html": "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">GET: https://arangodb-dataset-library-ml.s3.amazonaws.com/open_intelligence/vertex_collection/Location.json <span style=\"color: #5bc0de; text-decoration-color: #5bc0de\">▰…</span> <span style=\"color: #808000; text-decoration-color: #808000\">0:0…</span>\n</pre>\n"
-                },
-                "metadata": {}
-              }
-            ]
-          }
-        },
         "65ec933ff80e445d9faefe0b6de2794e": {
           "model_module": "@jupyter-widgets/base",
-          "model_name": "LayoutModel",
           "model_module_version": "1.2.0",
+          "model_name": "LayoutModel",
           "state": {
             "_model_module": "@jupyter-widgets/base",
             "_model_module_version": "1.2.0",
@@ -7296,37 +7431,10 @@
             "width": null
           }
         },
-        "3fd66aca0de4489788c231af73a8dc9f": {
-          "model_module": "@jupyter-widgets/output",
-          "model_name": "OutputModel",
-          "model_module_version": "1.0.0",
-          "state": {
-            "_dom_classes": [],
-            "_model_module": "@jupyter-widgets/output",
-            "_model_module_version": "1.0.0",
-            "_model_name": "OutputModel",
-            "_view_count": null,
-            "_view_module": "@jupyter-widgets/output",
-            "_view_module_version": "1.0.0",
-            "_view_name": "OutputView",
-            "layout": "IPY_MODEL_bf1f854832fe4ddabaea0090c9bf1916",
-            "msg_id": "",
-            "outputs": [
-              {
-                "output_type": "display_data",
-                "data": {
-                  "text/plain": "Collection: Location \u001b[38;2;91;192;222m▰▰▰▰▰▰▱\u001b[0m \u001b[33m0:00:00\u001b[0m\n",
-                  "text/html": "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Collection: Location <span style=\"color: #5bc0de; text-decoration-color: #5bc0de\">▰▰▰▰▰▰▱</span> <span style=\"color: #808000; text-decoration-color: #808000\">0:00:00</span>\n</pre>\n"
-                },
-                "metadata": {}
-              }
-            ]
-          }
-        },
-        "bf1f854832fe4ddabaea0090c9bf1916": {
+        "6a6ca17c07f94dcab0bc3853e3e25e3e": {
           "model_module": "@jupyter-widgets/base",
-          "model_name": "LayoutModel",
           "model_module_version": "1.2.0",
+          "model_name": "LayoutModel",
           "state": {
             "_model_module": "@jupyter-widgets/base",
             "_model_module_version": "1.2.0",
@@ -7375,10 +7483,37 @@
             "width": null
           }
         },
-        "443b07aa182d4fa08755353991442776": {
+        "6c719cccc182418b9060b951bf88fd2b": {
           "model_module": "@jupyter-widgets/output",
+          "model_module_version": "1.0.0",
           "model_name": "OutputModel",
+          "state": {
+            "_dom_classes": [],
+            "_model_module": "@jupyter-widgets/output",
+            "_model_module_version": "1.0.0",
+            "_model_name": "OutputModel",
+            "_view_count": null,
+            "_view_module": "@jupyter-widgets/output",
+            "_view_module_version": "1.0.0",
+            "_view_name": "OutputView",
+            "layout": "IPY_MODEL_7a8655bc8c3b46fc9a2909cf670e9064",
+            "msg_id": "",
+            "outputs": [
+              {
+                "data": {
+                  "text/html": "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">GET: https://arangodb-dataset-library-ml.s3.amazonaws.com/open_intelligence/vertex_collection/Country.json <span style=\"color: #5bc0de; text-decoration-color: #5bc0de\">▰▰…</span> <span style=\"color: #808000; text-decoration-color: #808000\">0:0…</span>\n</pre>\n",
+                  "text/plain": "GET: https://arangodb-dataset-library-ml.s3.amazonaws.com/open_intelligence/vertex_collection/Country.json \u001b[38;2;91;192;222m▰▰…\u001b[0m \u001b[33m0:0…\u001b[0m\n"
+                },
+                "metadata": {},
+                "output_type": "display_data"
+              }
+            ]
+          }
+        },
+        "6edea384a5d84339a997485ee48ee4b3": {
+          "model_module": "@jupyter-widgets/output",
           "model_module_version": "1.0.0",
+          "model_name": "OutputModel",
           "state": {
             "_dom_classes": [],
             "_model_module": "@jupyter-widgets/output",
@@ -7388,24 +7523,51 @@
             "_view_module": "@jupyter-widgets/output",
             "_view_module_version": "1.0.0",
             "_view_name": "OutputView",
-            "layout": "IPY_MODEL_a43fd065c67041a183df402874c30020",
+            "layout": "IPY_MODEL_6072ffb0bfc9471ba8227137be406b1b",
             "msg_id": "",
             "outputs": [
               {
-                "output_type": "display_data",
                 "data": {
-                  "text/plain": "GET: https://arangodb-dataset-library-ml.s3.amazonaws.com/open_intelligence/vertex_collection/Region.json \u001b[38;2;91;192;222m▰▰▱…\u001b[0m \u001b[33m0:0…\u001b[0m\n",
-                  "text/html": "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">GET: https://arangodb-dataset-library-ml.s3.amazonaws.com/open_intelligence/vertex_collection/Region.json <span style=\"color: #5bc0de; text-decoration-color: #5bc0de\">▰▰▱…</span> <span style=\"color: #808000; text-decoration-color: #808000\">0:0…</span>\n</pre>\n"
+                  "text/html": "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Collection: hasLocation <span style=\"color: #5bc0de; text-decoration-color: #5bc0de\">▰▰▰▰▱▱▱</span> <span style=\"color: #808000; text-decoration-color: #808000\">0:00:04</span>\n</pre>\n",
+                  "text/plain": "Collection: hasLocation \u001b[38;2;91;192;222m▰▰▰▰▱▱▱\u001b[0m \u001b[33m0:00:04\u001b[0m\n"
                 },
-                "metadata": {}
+                "metadata": {},
+                "output_type": "display_data"
               }
             ]
           }
         },
-        "a43fd065c67041a183df402874c30020": {
+        "70ee96c8ef3c45aa98219904eb3b9fe3": {
+          "model_module": "@jupyter-widgets/output",
+          "model_module_version": "1.0.0",
+          "model_name": "OutputModel",
+          "state": {
+            "_dom_classes": [],
+            "_model_module": "@jupyter-widgets/output",
+            "_model_module_version": "1.0.0",
+            "_model_name": "OutputModel",
+            "_view_count": null,
+            "_view_module": "@jupyter-widgets/output",
+            "_view_module_version": "1.0.0",
+            "_view_name": "OutputView",
+            "layout": "IPY_MODEL_eddd34db2d804dcf8bec541202e00305",
+            "msg_id": "",
+            "outputs": [
+              {
+                "data": {
+                  "text/html": "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">GET: https://arangodb-dataset-library-ml.s3.amazonaws.com/root_metadata.json <span style=\"color: #5bc0de; text-decoration-color: #5bc0de\">▰▰▱▱▱▱▱</span> <span style=\"color: #808000; text-decoration-color: #808000\">0:00:00</span>\n</pre>\n",
+                  "text/plain": "GET: https://arangodb-dataset-library-ml.s3.amazonaws.com/root_metadata.json \u001b[38;2;91;192;222m▰▰▱▱▱▱▱\u001b[0m \u001b[33m0:00:00\u001b[0m\n"
+                },
+                "metadata": {},
+                "output_type": "display_data"
+              }
+            ]
+          }
+        },
+        "731201f02f5c4472816523f311a5bbbd": {
           "model_module": "@jupyter-widgets/base",
-          "model_name": "LayoutModel",
           "model_module_version": "1.2.0",
+          "model_name": "LayoutModel",
           "state": {
             "_model_module": "@jupyter-widgets/base",
             "_model_module_version": "1.2.0",
@@ -7454,10 +7616,10 @@
             "width": null
           }
         },
-        "48f34d7821774273bcc072e2168344fb": {
+        "787cd3d8813d4515ad7e138aaa49ff8c": {
           "model_module": "@jupyter-widgets/output",
-          "model_name": "OutputModel",
           "model_module_version": "1.0.0",
+          "model_name": "OutputModel",
           "state": {
             "_dom_classes": [],
             "_model_module": "@jupyter-widgets/output",
@@ -7467,24 +7629,24 @@
             "_view_module": "@jupyter-widgets/output",
             "_view_module_version": "1.0.0",
             "_view_name": "OutputView",
-            "layout": "IPY_MODEL_36da2525b19847e1addebd4a26b6979f",
+            "layout": "IPY_MODEL_3afc205fe9b840258b7b0656665551b1",
             "msg_id": "",
             "outputs": [
               {
-                "output_type": "display_data",
                 "data": {
-                  "text/plain": "Collection: Region \u001b[38;2;91;192;222m▰▱▱▱▱▱▱\u001b[0m \u001b[33m0:00:00\u001b[0m\n",
-                  "text/html": "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Collection: Region <span style=\"color: #5bc0de; text-decoration-color: #5bc0de\">▰▱▱▱▱▱▱</span> <span style=\"color: #808000; text-decoration-color: #808000\">0:00:00</span>\n</pre>\n"
+                  "text/html": "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">GET: https://arangodb-dataset-library-ml.s3.amazonaws.com/root_metadata.json <span style=\"color: #5bc0de; text-decoration-color: #5bc0de\">▰▰▰▱▱▱▱</span> <span style=\"color: #808000; text-decoration-color: #808000\">0:00:00</span>\n</pre>\n",
+                  "text/plain": "GET: https://arangodb-dataset-library-ml.s3.amazonaws.com/root_metadata.json \u001b[38;2;91;192;222m▰▰▰▱▱▱▱\u001b[0m \u001b[33m0:00:00\u001b[0m\n"
                 },
-                "metadata": {}
+                "metadata": {},
+                "output_type": "display_data"
               }
             ]
           }
         },
-        "36da2525b19847e1addebd4a26b6979f": {
+        "7a8655bc8c3b46fc9a2909cf670e9064": {
           "model_module": "@jupyter-widgets/base",
-          "model_name": "LayoutModel",
           "model_module_version": "1.2.0",
+          "model_name": "LayoutModel",
           "state": {
             "_model_module": "@jupyter-widgets/base",
             "_model_module_version": "1.2.0",
@@ -7533,37 +7695,10 @@
             "width": null
           }
         },
-        "2cb2acb201a04ec89f524003e4bf86d0": {
-          "model_module": "@jupyter-widgets/output",
-          "model_name": "OutputModel",
-          "model_module_version": "1.0.0",
-          "state": {
-            "_dom_classes": [],
-            "_model_module": "@jupyter-widgets/output",
-            "_model_module_version": "1.0.0",
-            "_model_name": "OutputModel",
-            "_view_count": null,
-            "_view_module": "@jupyter-widgets/output",
-            "_view_module_version": "1.0.0",
-            "_view_name": "OutputView",
-            "layout": "IPY_MODEL_8dd40f435d1749e2be2cd59527d144d8",
-            "msg_id": "",
-            "outputs": [
-              {
-                "output_type": "display_data",
-                "data": {
-                  "text/plain": "GET: https://arangodb-dataset-library-ml.s3.amazonaws.com/open_intelligence/vertex_collection/Source.json \u001b[38;2;91;192;222m▰▰▰…\u001b[0m \u001b[33m0:0…\u001b[0m\n",
-                  "text/html": "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">GET: https://arangodb-dataset-library-ml.s3.amazonaws.com/open_intelligence/vertex_collection/Source.json <span style=\"color: #5bc0de; text-decoration-color: #5bc0de\">▰▰▰…</span> <span style=\"color: #808000; text-decoration-color: #808000\">0:0…</span>\n</pre>\n"
-                },
-                "metadata": {}
-              }
-            ]
-          }
-        },
-        "8dd40f435d1749e2be2cd59527d144d8": {
+        "830a7c760c3a43ee8ee40c1e06798a14": {
           "model_module": "@jupyter-widgets/base",
-          "model_name": "LayoutModel",
           "model_module_version": "1.2.0",
+          "model_name": "LayoutModel",
           "state": {
             "_model_module": "@jupyter-widgets/base",
             "_model_module_version": "1.2.0",
@@ -7612,37 +7747,10 @@
             "width": null
           }
         },
-        "1d1314830fc8414aab37de559cae3a7e": {
-          "model_module": "@jupyter-widgets/output",
-          "model_name": "OutputModel",
-          "model_module_version": "1.0.0",
-          "state": {
-            "_dom_classes": [],
-            "_model_module": "@jupyter-widgets/output",
-            "_model_module_version": "1.0.0",
-            "_model_name": "OutputModel",
-            "_view_count": null,
-            "_view_module": "@jupyter-widgets/output",
-            "_view_module_version": "1.0.0",
-            "_view_name": "OutputView",
-            "layout": "IPY_MODEL_2204c3cd02fb44a8893193aa436ce237",
-            "msg_id": "",
-            "outputs": [
-              {
-                "output_type": "display_data",
-                "data": {
-                  "text/plain": "Collection: Source \u001b[38;2;91;192;222m▰▰▰▱▱▱▱\u001b[0m \u001b[33m0:00:00\u001b[0m\n",
-                  "text/html": "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Collection: Source <span style=\"color: #5bc0de; text-decoration-color: #5bc0de\">▰▰▰▱▱▱▱</span> <span style=\"color: #808000; text-decoration-color: #808000\">0:00:00</span>\n</pre>\n"
-                },
-                "metadata": {}
-              }
-            ]
-          }
-        },
-        "2204c3cd02fb44a8893193aa436ce237": {
+        "87d7d473913245e685ca190c5fd19afd": {
           "model_module": "@jupyter-widgets/base",
-          "model_name": "LayoutModel",
           "model_module_version": "1.2.0",
+          "model_name": "LayoutModel",
           "state": {
             "_model_module": "@jupyter-widgets/base",
             "_model_module_version": "1.2.0",
@@ -7691,37 +7799,10 @@
             "width": null
           }
         },
-        "f9f2787c50c14a879c052ecc78cf48fc": {
-          "model_module": "@jupyter-widgets/output",
-          "model_name": "OutputModel",
-          "model_module_version": "1.0.0",
-          "state": {
-            "_dom_classes": [],
-            "_model_module": "@jupyter-widgets/output",
-            "_model_module_version": "1.0.0",
-            "_model_name": "OutputModel",
-            "_view_count": null,
-            "_view_module": "@jupyter-widgets/output",
-            "_view_module_version": "1.0.0",
-            "_view_name": "OutputView",
-            "layout": "IPY_MODEL_1929aaf08f4544edba0a08b91a489ce3",
-            "msg_id": "",
-            "outputs": [
-              {
-                "output_type": "display_data",
-                "data": {
-                  "text/plain": "GET: https://arangodb-dataset-library-ml.s3.amazonaws.com/open_intelligence/edge_collection/eventActor.json \u001b[38;2;91;192;222m▰…\u001b[0m \u001b[33m0:0…\u001b[0m\n",
-                  "text/html": "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">GET: https://arangodb-dataset-library-ml.s3.amazonaws.com/open_intelligence/edge_collection/eventActor.json <span style=\"color: #5bc0de; text-decoration-color: #5bc0de\">▰…</span> <span style=\"color: #808000; text-decoration-color: #808000\">0:0…</span>\n</pre>\n"
-                },
-                "metadata": {}
-              }
-            ]
-          }
-        },
-        "1929aaf08f4544edba0a08b91a489ce3": {
+        "8dd40f435d1749e2be2cd59527d144d8": {
           "model_module": "@jupyter-widgets/base",
-          "model_name": "LayoutModel",
           "model_module_version": "1.2.0",
+          "model_name": "LayoutModel",
           "state": {
             "_model_module": "@jupyter-widgets/base",
             "_model_module_version": "1.2.0",
@@ -7770,37 +7851,10 @@
             "width": null
           }
         },
-        "b0f8ee4fe5c446e4966dafe58d68dee2": {
-          "model_module": "@jupyter-widgets/output",
-          "model_name": "OutputModel",
-          "model_module_version": "1.0.0",
-          "state": {
-            "_dom_classes": [],
-            "_model_module": "@jupyter-widgets/output",
-            "_model_module_version": "1.0.0",
-            "_model_name": "OutputModel",
-            "_view_count": null,
-            "_view_module": "@jupyter-widgets/output",
-            "_view_module_version": "1.0.0",
-            "_view_name": "OutputView",
-            "layout": "IPY_MODEL_ceec724abeee4fb898211f7bee085551",
-            "msg_id": "",
-            "outputs": [
-              {
-                "output_type": "display_data",
-                "data": {
-                  "text/plain": "Collection: eventActor \u001b[38;2;91;192;222m▰▰▱▱▱▱▱\u001b[0m \u001b[33m0:00:07\u001b[0m\n",
-                  "text/html": "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Collection: eventActor <span style=\"color: #5bc0de; text-decoration-color: #5bc0de\">▰▰▱▱▱▱▱</span> <span style=\"color: #808000; text-decoration-color: #808000\">0:00:07</span>\n</pre>\n"
-                },
-                "metadata": {}
-              }
-            ]
-          }
-        },
-        "ceec724abeee4fb898211f7bee085551": {
+        "9af4fff0dbaa4cbdaed50a2d06859ad6": {
           "model_module": "@jupyter-widgets/base",
-          "model_name": "LayoutModel",
           "model_module_version": "1.2.0",
+          "model_name": "LayoutModel",
           "state": {
             "_model_module": "@jupyter-widgets/base",
             "_model_module_version": "1.2.0",
@@ -7849,10 +7903,10 @@
             "width": null
           }
         },
-        "1a72b4fda58948e0a2eb71bdc719a9ec": {
+        "9c719713b7f84b5bbc9c3b93ae018025": {
           "model_module": "@jupyter-widgets/output",
-          "model_name": "OutputModel",
           "model_module_version": "1.0.0",
+          "model_name": "OutputModel",
           "state": {
             "_dom_classes": [],
             "_model_module": "@jupyter-widgets/output",
@@ -7862,24 +7916,24 @@
             "_view_module": "@jupyter-widgets/output",
             "_view_module_version": "1.0.0",
             "_view_name": "OutputView",
-            "layout": "IPY_MODEL_731201f02f5c4472816523f311a5bbbd",
+            "layout": "IPY_MODEL_ade3d0b0a6de40ce83e27e7385cf728d",
             "msg_id": "",
             "outputs": [
               {
-                "output_type": "display_data",
                 "data": {
-                  "text/plain": "GET: https://arangodb-dataset-library-ml.s3.amazonaws.com/open_intelligence/edge_collection/hasLocation.json \u001b[38;2;91;192;222m▰…\u001b[0m \u001b[33m0:…\u001b[0m\n",
-                  "text/html": "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">GET: https://arangodb-dataset-library-ml.s3.amazonaws.com/open_intelligence/edge_collection/hasLocation.json <span style=\"color: #5bc0de; text-decoration-color: #5bc0de\">▰…</span> <span style=\"color: #808000; text-decoration-color: #808000\">0:…</span>\n</pre>\n"
+                  "text/html": "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Collection: Characters <span style=\"color: #5bc0de; text-decoration-color: #5bc0de\">▰▱▱▱▱▱▱</span> <span style=\"color: #808000; text-decoration-color: #808000\">0:00:00</span>\n</pre>\n",
+                  "text/plain": "Collection: Characters \u001b[38;2;91;192;222m▰▱▱▱▱▱▱\u001b[0m \u001b[33m0:00:00\u001b[0m\n"
                 },
-                "metadata": {}
+                "metadata": {},
+                "output_type": "display_data"
               }
             ]
           }
         },
-        "731201f02f5c4472816523f311a5bbbd": {
+        "a43fd065c67041a183df402874c30020": {
           "model_module": "@jupyter-widgets/base",
-          "model_name": "LayoutModel",
           "model_module_version": "1.2.0",
+          "model_name": "LayoutModel",
           "state": {
             "_model_module": "@jupyter-widgets/base",
             "_model_module_version": "1.2.0",
@@ -7928,10 +7982,10 @@
             "width": null
           }
         },
-        "6edea384a5d84339a997485ee48ee4b3": {
+        "a9245b5e66fc4c808bb3beec6c3a99f8": {
           "model_module": "@jupyter-widgets/output",
-          "model_name": "OutputModel",
           "model_module_version": "1.0.0",
+          "model_name": "OutputModel",
           "state": {
             "_dom_classes": [],
             "_model_module": "@jupyter-widgets/output",
@@ -7941,24 +7995,24 @@
             "_view_module": "@jupyter-widgets/output",
             "_view_module_version": "1.0.0",
             "_view_name": "OutputView",
-            "layout": "IPY_MODEL_6072ffb0bfc9471ba8227137be406b1b",
+            "layout": "IPY_MODEL_38c9a48129e24829a96d566785a6688c",
             "msg_id": "",
             "outputs": [
               {
-                "output_type": "display_data",
                 "data": {
-                  "text/plain": "Collection: hasLocation \u001b[38;2;91;192;222m▰▰▰▰▱▱▱\u001b[0m \u001b[33m0:00:04\u001b[0m\n",
-                  "text/html": "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Collection: hasLocation <span style=\"color: #5bc0de; text-decoration-color: #5bc0de\">▰▰▰▰▱▱▱</span> <span style=\"color: #808000; text-decoration-color: #808000\">0:00:04</span>\n</pre>\n"
+                  "text/html": "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Collection: Country <span style=\"color: #5bc0de; text-decoration-color: #5bc0de\">▰▱▱▱▱▱▱</span> <span style=\"color: #808000; text-decoration-color: #808000\">0:00:00</span>\n</pre>\n",
+                  "text/plain": "Collection: Country \u001b[38;2;91;192;222m▰▱▱▱▱▱▱\u001b[0m \u001b[33m0:00:00\u001b[0m\n"
                 },
-                "metadata": {}
+                "metadata": {},
+                "output_type": "display_data"
               }
             ]
           }
         },
-        "6072ffb0bfc9471ba8227137be406b1b": {
+        "ade3d0b0a6de40ce83e27e7385cf728d": {
           "model_module": "@jupyter-widgets/base",
-          "model_name": "LayoutModel",
           "model_module_version": "1.2.0",
+          "model_name": "LayoutModel",
           "state": {
             "_model_module": "@jupyter-widgets/base",
             "_model_module_version": "1.2.0",
@@ -8007,37 +8061,10 @@
             "width": null
           }
         },
-        "f25a84f15e3445e9b633df16055e3886": {
-          "model_module": "@jupyter-widgets/output",
-          "model_name": "OutputModel",
-          "model_module_version": "1.0.0",
-          "state": {
-            "_dom_classes": [],
-            "_model_module": "@jupyter-widgets/output",
-            "_model_module_version": "1.0.0",
-            "_model_name": "OutputModel",
-            "_view_count": null,
-            "_view_module": "@jupyter-widgets/output",
-            "_view_module_version": "1.0.0",
-            "_view_name": "OutputView",
-            "layout": "IPY_MODEL_cdf1c5f8046c453b9a3357d363c36644",
-            "msg_id": "",
-            "outputs": [
-              {
-                "output_type": "display_data",
-                "data": {
-                  "text/plain": "GET: https://arangodb-dataset-library-ml.s3.amazonaws.com/open_intelligence/edge_collection/hasSource.json \u001b[38;2;91;192;222m▰▰…\u001b[0m \u001b[33m0:0…\u001b[0m\n",
-                  "text/html": "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">GET: https://arangodb-dataset-library-ml.s3.amazonaws.com/open_intelligence/edge_collection/hasSource.json <span style=\"color: #5bc0de; text-decoration-color: #5bc0de\">▰▰…</span> <span style=\"color: #808000; text-decoration-color: #808000\">0:0…</span>\n</pre>\n"
-                },
-                "metadata": {}
-              }
-            ]
-          }
-        },
-        "cdf1c5f8046c453b9a3357d363c36644": {
+        "b04d48b009814255bec75e8815e9b8b2": {
           "model_module": "@jupyter-widgets/base",
-          "model_name": "LayoutModel",
           "model_module_version": "1.2.0",
+          "model_name": "LayoutModel",
           "state": {
             "_model_module": "@jupyter-widgets/base",
             "_model_module_version": "1.2.0",
@@ -8086,10 +8113,10 @@
             "width": null
           }
         },
-        "13d8b76a4c3f443ca0dee631fd3959b0": {
+        "b0f8ee4fe5c446e4966dafe58d68dee2": {
           "model_module": "@jupyter-widgets/output",
-          "model_name": "OutputModel",
           "model_module_version": "1.0.0",
+          "model_name": "OutputModel",
           "state": {
             "_dom_classes": [],
             "_model_module": "@jupyter-widgets/output",
@@ -8099,24 +8126,24 @@
             "_view_module": "@jupyter-widgets/output",
             "_view_module_version": "1.0.0",
             "_view_name": "OutputView",
-            "layout": "IPY_MODEL_9af4fff0dbaa4cbdaed50a2d06859ad6",
+            "layout": "IPY_MODEL_ceec724abeee4fb898211f7bee085551",
             "msg_id": "",
             "outputs": [
               {
-                "output_type": "display_data",
                 "data": {
-                  "text/plain": "Collection: hasSource \u001b[38;2;91;192;222m▰▰▰▰▰▱▱\u001b[0m \u001b[33m0:00:04\u001b[0m\n",
-                  "text/html": "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Collection: hasSource <span style=\"color: #5bc0de; text-decoration-color: #5bc0de\">▰▰▰▰▰▱▱</span> <span style=\"color: #808000; text-decoration-color: #808000\">0:00:04</span>\n</pre>\n"
+                  "text/html": "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Collection: eventActor <span style=\"color: #5bc0de; text-decoration-color: #5bc0de\">▰▰▱▱▱▱▱</span> <span style=\"color: #808000; text-decoration-color: #808000\">0:00:07</span>\n</pre>\n",
+                  "text/plain": "Collection: eventActor \u001b[38;2;91;192;222m▰▰▱▱▱▱▱\u001b[0m \u001b[33m0:00:07\u001b[0m\n"
                 },
-                "metadata": {}
+                "metadata": {},
+                "output_type": "display_data"
               }
             ]
           }
         },
-        "9af4fff0dbaa4cbdaed50a2d06859ad6": {
+        "bd5d1c41edac4817a435116142b6993f": {
           "model_module": "@jupyter-widgets/base",
-          "model_name": "LayoutModel",
           "model_module_version": "1.2.0",
+          "model_name": "LayoutModel",
           "state": {
             "_model_module": "@jupyter-widgets/base",
             "_model_module_version": "1.2.0",
@@ -8165,37 +8192,10 @@
             "width": null
           }
         },
-        "14fc56900a6d4df99016f3473c6e0676": {
-          "model_module": "@jupyter-widgets/output",
-          "model_name": "OutputModel",
-          "model_module_version": "1.0.0",
-          "state": {
-            "_dom_classes": [],
-            "_model_module": "@jupyter-widgets/output",
-            "_model_module_version": "1.0.0",
-            "_model_name": "OutputModel",
-            "_view_count": null,
-            "_view_module": "@jupyter-widgets/output",
-            "_view_module_version": "1.0.0",
-            "_view_name": "OutputView",
-            "layout": "IPY_MODEL_4e7914d83ed64042b3998f915e6d829b",
-            "msg_id": "",
-            "outputs": [
-              {
-                "output_type": "display_data",
-                "data": {
-                  "text/plain": "GET: https://arangodb-dataset-library-ml.s3.amazonaws.com/open_intelligence/edge_collection/inCountry.json \u001b[38;2;91;192;222m▰▰…\u001b[0m \u001b[33m0:0…\u001b[0m\n",
-                  "text/html": "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">GET: https://arangodb-dataset-library-ml.s3.amazonaws.com/open_intelligence/edge_collection/inCountry.json <span style=\"color: #5bc0de; text-decoration-color: #5bc0de\">▰▰…</span> <span style=\"color: #808000; text-decoration-color: #808000\">0:0…</span>\n</pre>\n"
-                },
-                "metadata": {}
-              }
-            ]
-          }
-        },
-        "4e7914d83ed64042b3998f915e6d829b": {
+        "bd9d20ef71c24856889a0e876754e627": {
           "model_module": "@jupyter-widgets/base",
-          "model_name": "LayoutModel",
           "model_module_version": "1.2.0",
+          "model_name": "LayoutModel",
           "state": {
             "_model_module": "@jupyter-widgets/base",
             "_model_module_version": "1.2.0",
@@ -8244,37 +8244,10 @@
             "width": null
           }
         },
-        "ffdc18c6a4d64e24886e8cd52efbb90f": {
-          "model_module": "@jupyter-widgets/output",
-          "model_name": "OutputModel",
-          "model_module_version": "1.0.0",
-          "state": {
-            "_dom_classes": [],
-            "_model_module": "@jupyter-widgets/output",
-            "_model_module_version": "1.0.0",
-            "_model_name": "OutputModel",
-            "_view_count": null,
-            "_view_module": "@jupyter-widgets/output",
-            "_view_module_version": "1.0.0",
-            "_view_name": "OutputView",
-            "layout": "IPY_MODEL_e720851d72204e31b0cb1f95d8adb3f6",
-            "msg_id": "",
-            "outputs": [
-              {
-                "output_type": "display_data",
-                "data": {
-                  "text/plain": "Collection: inCountry \u001b[38;2;91;192;222m▰▱▱▱▱▱▱\u001b[0m \u001b[33m0:00:00\u001b[0m\n",
-                  "text/html": "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Collection: inCountry <span style=\"color: #5bc0de; text-decoration-color: #5bc0de\">▰▱▱▱▱▱▱</span> <span style=\"color: #808000; text-decoration-color: #808000\">0:00:00</span>\n</pre>\n"
-                },
-                "metadata": {}
-              }
-            ]
-          }
-        },
-        "e720851d72204e31b0cb1f95d8adb3f6": {
+        "bf1f854832fe4ddabaea0090c9bf1916": {
           "model_module": "@jupyter-widgets/base",
-          "model_name": "LayoutModel",
           "model_module_version": "1.2.0",
+          "model_name": "LayoutModel",
           "state": {
             "_model_module": "@jupyter-widgets/base",
             "_model_module_version": "1.2.0",
@@ -8323,10 +8296,10 @@
             "width": null
           }
         },
-        "00bb413e3e8d4aa2ae5a6d22f161f9cf": {
+        "c0298c61e6564c70900ed485a332f104": {
           "model_module": "@jupyter-widgets/output",
-          "model_name": "OutputModel",
           "model_module_version": "1.0.0",
+          "model_name": "OutputModel",
           "state": {
             "_dom_classes": [],
             "_model_module": "@jupyter-widgets/output",
@@ -8336,24 +8309,24 @@
             "_view_module": "@jupyter-widgets/output",
             "_view_module_version": "1.0.0",
             "_view_name": "OutputView",
-            "layout": "IPY_MODEL_4d3c7dbf69da4fb499307835431b6a09",
+            "layout": "IPY_MODEL_ce7a6a346cac4456aaad509590b84445",
             "msg_id": "",
             "outputs": [
               {
-                "output_type": "display_data",
                 "data": {
-                  "text/plain": "GET: https://arangodb-dataset-library-ml.s3.amazonaws.com/open_intelligence/edge_collection/inRegion.json \u001b[38;2;91;192;222m▰▰▱…\u001b[0m \u001b[33m0:0…\u001b[0m\n",
-                  "text/html": "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">GET: https://arangodb-dataset-library-ml.s3.amazonaws.com/open_intelligence/edge_collection/inRegion.json <span style=\"color: #5bc0de; text-decoration-color: #5bc0de\">▰▰▱…</span> <span style=\"color: #808000; text-decoration-color: #808000\">0:0…</span>\n</pre>\n"
+                  "text/html": "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">GET: https://arangodb-dataset-library-ml.s3.amazonaws.com/open_intelligence/vertex_collection/Class.json <span style=\"color: #5bc0de; text-decoration-color: #5bc0de\">▰▰▰…</span> <span style=\"color: #808000; text-decoration-color: #808000\">0:00…</span>\n</pre>\n",
+                  "text/plain": "GET: https://arangodb-dataset-library-ml.s3.amazonaws.com/open_intelligence/vertex_collection/Class.json \u001b[38;2;91;192;222m▰▰▰…\u001b[0m \u001b[33m0:00…\u001b[0m\n"
                 },
-                "metadata": {}
+                "metadata": {},
+                "output_type": "display_data"
               }
             ]
           }
         },
-        "4d3c7dbf69da4fb499307835431b6a09": {
+        "cdf1c5f8046c453b9a3357d363c36644": {
           "model_module": "@jupyter-widgets/base",
-          "model_name": "LayoutModel",
           "model_module_version": "1.2.0",
+          "model_name": "LayoutModel",
           "state": {
             "_model_module": "@jupyter-widgets/base",
             "_model_module_version": "1.2.0",
@@ -8402,37 +8375,10 @@
             "width": null
           }
         },
-        "21cf9ccaa27f46bfa338e8e763e93fff": {
-          "model_module": "@jupyter-widgets/output",
-          "model_name": "OutputModel",
-          "model_module_version": "1.0.0",
-          "state": {
-            "_dom_classes": [],
-            "_model_module": "@jupyter-widgets/output",
-            "_model_module_version": "1.0.0",
-            "_model_name": "OutputModel",
-            "_view_count": null,
-            "_view_module": "@jupyter-widgets/output",
-            "_view_module_version": "1.0.0",
-            "_view_name": "OutputView",
-            "layout": "IPY_MODEL_3cda846de799490fa17347b6df055779",
-            "msg_id": "",
-            "outputs": [
-              {
-                "output_type": "display_data",
-                "data": {
-                  "text/plain": "Collection: inRegion \u001b[38;2;91;192;222m▰▱▱▱▱▱▱\u001b[0m \u001b[33m0:00:00\u001b[0m\n",
-                  "text/html": "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Collection: inRegion <span style=\"color: #5bc0de; text-decoration-color: #5bc0de\">▰▱▱▱▱▱▱</span> <span style=\"color: #808000; text-decoration-color: #808000\">0:00:00</span>\n</pre>\n"
-                },
-                "metadata": {}
-              }
-            ]
-          }
-        },
-        "3cda846de799490fa17347b6df055779": {
+        "ce7a6a346cac4456aaad509590b84445": {
           "model_module": "@jupyter-widgets/base",
-          "model_name": "LayoutModel",
           "model_module_version": "1.2.0",
+          "model_name": "LayoutModel",
           "state": {
             "_model_module": "@jupyter-widgets/base",
             "_model_module_version": "1.2.0",
@@ -8481,37 +8427,10 @@
             "width": null
           }
         },
-        "20d76c9bdcfd4cbebd03b49b2265fa15": {
-          "model_module": "@jupyter-widgets/output",
-          "model_name": "OutputModel",
-          "model_module_version": "1.0.0",
-          "state": {
-            "_dom_classes": [],
-            "_model_module": "@jupyter-widgets/output",
-            "_model_module_version": "1.0.0",
-            "_model_name": "OutputModel",
-            "_view_count": null,
-            "_view_module": "@jupyter-widgets/output",
-            "_view_module_version": "1.0.0",
-            "_view_name": "OutputView",
-            "layout": "IPY_MODEL_54da99ce57ce418bae748462b7f75097",
-            "msg_id": "",
-            "outputs": [
-              {
-                "output_type": "display_data",
-                "data": {
-                  "text/plain": "GET: https://arangodb-dataset-library-ml.s3.amazonaws.com/open_intelligence/edge_collection/subClass.json \u001b[38;2;91;192;222m▰▰▱…\u001b[0m \u001b[33m0:0…\u001b[0m\n",
-                  "text/html": "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">GET: https://arangodb-dataset-library-ml.s3.amazonaws.com/open_intelligence/edge_collection/subClass.json <span style=\"color: #5bc0de; text-decoration-color: #5bc0de\">▰▰▱…</span> <span style=\"color: #808000; text-decoration-color: #808000\">0:0…</span>\n</pre>\n"
-                },
-                "metadata": {}
-              }
-            ]
-          }
-        },
-        "54da99ce57ce418bae748462b7f75097": {
+        "ceec724abeee4fb898211f7bee085551": {
           "model_module": "@jupyter-widgets/base",
-          "model_name": "LayoutModel",
           "model_module_version": "1.2.0",
+          "model_name": "LayoutModel",
           "state": {
             "_model_module": "@jupyter-widgets/base",
             "_model_module_version": "1.2.0",
@@ -8560,10 +8479,37 @@
             "width": null
           }
         },
-        "33dc2087089d47888368b9d5a08e8065": {
+        "d714f473459c4087aca075d7e41b0361": {
           "model_module": "@jupyter-widgets/output",
+          "model_module_version": "1.0.0",
           "model_name": "OutputModel",
+          "state": {
+            "_dom_classes": [],
+            "_model_module": "@jupyter-widgets/output",
+            "_model_module_version": "1.0.0",
+            "_model_name": "OutputModel",
+            "_view_count": null,
+            "_view_module": "@jupyter-widgets/output",
+            "_view_module_version": "1.0.0",
+            "_view_name": "OutputView",
+            "layout": "IPY_MODEL_65ec933ff80e445d9faefe0b6de2794e",
+            "msg_id": "",
+            "outputs": [
+              {
+                "data": {
+                  "text/html": "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">GET: https://arangodb-dataset-library-ml.s3.amazonaws.com/open_intelligence/vertex_collection/Location.json <span style=\"color: #5bc0de; text-decoration-color: #5bc0de\">▰…</span> <span style=\"color: #808000; text-decoration-color: #808000\">0:0…</span>\n</pre>\n",
+                  "text/plain": "GET: https://arangodb-dataset-library-ml.s3.amazonaws.com/open_intelligence/vertex_collection/Location.json \u001b[38;2;91;192;222m▰…\u001b[0m \u001b[33m0:0…\u001b[0m\n"
+                },
+                "metadata": {},
+                "output_type": "display_data"
+              }
+            ]
+          }
+        },
+        "dfc2dccaaf704fc8ab98d084161f8d6f": {
+          "model_module": "@jupyter-widgets/output",
           "model_module_version": "1.0.0",
+          "model_name": "OutputModel",
           "state": {
             "_dom_classes": [],
             "_model_module": "@jupyter-widgets/output",
@@ -8573,24 +8519,24 @@
             "_view_module": "@jupyter-widgets/output",
             "_view_module_version": "1.0.0",
             "_view_name": "OutputView",
-            "layout": "IPY_MODEL_287733dd66da40ccbc7933737b98e7c7",
+            "layout": "IPY_MODEL_35dcc210e7df45b0aea55852fcf02466",
             "msg_id": "",
             "outputs": [
               {
-                "output_type": "display_data",
                 "data": {
-                  "text/plain": "Collection: subClass \u001b[38;2;91;192;222m▰▱▱▱▱▱▱\u001b[0m \u001b[33m0:00:00\u001b[0m\n",
-                  "text/html": "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Collection: subClass <span style=\"color: #5bc0de; text-decoration-color: #5bc0de\">▰▱▱▱▱▱▱</span> <span style=\"color: #808000; text-decoration-color: #808000\">0:00:00</span>\n</pre>\n"
+                  "text/html": "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Collection: Actor <span style=\"color: #5bc0de; text-decoration-color: #5bc0de\">▰▰▱▱▱▱▱</span> <span style=\"color: #808000; text-decoration-color: #808000\">0:00:00</span>\n</pre>\n",
+                  "text/plain": "Collection: Actor \u001b[38;2;91;192;222m▰▰▱▱▱▱▱\u001b[0m \u001b[33m0:00:00\u001b[0m\n"
                 },
-                "metadata": {}
+                "metadata": {},
+                "output_type": "display_data"
               }
             ]
           }
         },
-        "287733dd66da40ccbc7933737b98e7c7": {
+        "e19611b67f1248e7935fb7943fc79dc2": {
           "model_module": "@jupyter-widgets/base",
-          "model_name": "LayoutModel",
           "model_module_version": "1.2.0",
+          "model_name": "LayoutModel",
           "state": {
             "_model_module": "@jupyter-widgets/base",
             "_model_module_version": "1.2.0",
@@ -8639,37 +8585,10 @@
             "width": null
           }
         },
-        "2e28383458f6415bb6726ba7a340b727": {
-          "model_module": "@jupyter-widgets/output",
-          "model_name": "OutputModel",
-          "model_module_version": "1.0.0",
-          "state": {
-            "_dom_classes": [],
-            "_model_module": "@jupyter-widgets/output",
-            "_model_module_version": "1.0.0",
-            "_model_name": "OutputModel",
-            "_view_count": null,
-            "_view_module": "@jupyter-widgets/output",
-            "_view_module_version": "1.0.0",
-            "_view_name": "OutputView",
-            "layout": "IPY_MODEL_bd5d1c41edac4817a435116142b6993f",
-            "msg_id": "",
-            "outputs": [
-              {
-                "output_type": "display_data",
-                "data": {
-                  "text/plain": "GET: https://arangodb-dataset-library-ml.s3.amazonaws.com/open_intelligence/edge_collection/type.json \u001b[38;2;91;192;222m▰▰▱▱▱…\u001b[0m \u001b[33m0:00:…\u001b[0m\n",
-                  "text/html": "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">GET: https://arangodb-dataset-library-ml.s3.amazonaws.com/open_intelligence/edge_collection/type.json <span style=\"color: #5bc0de; text-decoration-color: #5bc0de\">▰▰▱▱▱…</span> <span style=\"color: #808000; text-decoration-color: #808000\">0:00:…</span>\n</pre>\n"
-                },
-                "metadata": {}
-              }
-            ]
-          }
-        },
-        "bd5d1c41edac4817a435116142b6993f": {
+        "e720851d72204e31b0cb1f95d8adb3f6": {
           "model_module": "@jupyter-widgets/base",
-          "model_name": "LayoutModel",
           "model_module_version": "1.2.0",
+          "model_name": "LayoutModel",
           "state": {
             "_model_module": "@jupyter-widgets/base",
             "_model_module_version": "1.2.0",
@@ -8718,10 +8637,10 @@
             "width": null
           }
         },
-        "5f528fd15f944d44acf9df355dd3f585": {
+        "e75b133f77c440c3a5fd22971d759f5e": {
           "model_module": "@jupyter-widgets/output",
-          "model_name": "OutputModel",
           "model_module_version": "1.0.0",
+          "model_name": "OutputModel",
           "state": {
             "_dom_classes": [],
             "_model_module": "@jupyter-widgets/output",
@@ -8731,24 +8650,24 @@
             "_view_module": "@jupyter-widgets/output",
             "_view_module_version": "1.0.0",
             "_view_name": "OutputView",
-            "layout": "IPY_MODEL_e19611b67f1248e7935fb7943fc79dc2",
+            "layout": "IPY_MODEL_47d55e09f93f4adab47035b886f77e72",
             "msg_id": "",
             "outputs": [
               {
-                "output_type": "display_data",
                 "data": {
-                  "text/plain": "Collection: type \u001b[38;2;91;192;222m▰▰▰▰▱▱▱\u001b[0m \u001b[33m0:00:04\u001b[0m\n",
-                  "text/html": "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Collection: type <span style=\"color: #5bc0de; text-decoration-color: #5bc0de\">▰▰▰▰▱▱▱</span> <span style=\"color: #808000; text-decoration-color: #808000\">0:00:04</span>\n</pre>\n"
+                  "text/html": "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">GET: https://arangodb-dataset-library-ml.s3.amazonaws.com/gameofthrones/edge_collection/ChildOf.json <span style=\"color: #5bc0de; text-decoration-color: #5bc0de\">▰▰▰▱▱…</span> <span style=\"color: #808000; text-decoration-color: #808000\">0:00:00</span>\n</pre>\n",
+                  "text/plain": "GET: https://arangodb-dataset-library-ml.s3.amazonaws.com/gameofthrones/edge_collection/ChildOf.json \u001b[38;2;91;192;222m▰▰▰▱▱…\u001b[0m \u001b[33m0:00:00\u001b[0m\n"
                 },
-                "metadata": {}
+                "metadata": {},
+                "output_type": "display_data"
               }
             ]
           }
         },
-        "e19611b67f1248e7935fb7943fc79dc2": {
+        "eddd34db2d804dcf8bec541202e00305": {
           "model_module": "@jupyter-widgets/base",
-          "model_name": "LayoutModel",
           "model_module_version": "1.2.0",
+          "model_name": "LayoutModel",
           "state": {
             "_model_module": "@jupyter-widgets/base",
             "_model_module_version": "1.2.0",
@@ -8796,10 +8715,91 @@
             "visibility": null,
             "width": null
           }
+        },
+        "f25a84f15e3445e9b633df16055e3886": {
+          "model_module": "@jupyter-widgets/output",
+          "model_module_version": "1.0.0",
+          "model_name": "OutputModel",
+          "state": {
+            "_dom_classes": [],
+            "_model_module": "@jupyter-widgets/output",
+            "_model_module_version": "1.0.0",
+            "_model_name": "OutputModel",
+            "_view_count": null,
+            "_view_module": "@jupyter-widgets/output",
+            "_view_module_version": "1.0.0",
+            "_view_name": "OutputView",
+            "layout": "IPY_MODEL_cdf1c5f8046c453b9a3357d363c36644",
+            "msg_id": "",
+            "outputs": [
+              {
+                "data": {
+                  "text/html": "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">GET: https://arangodb-dataset-library-ml.s3.amazonaws.com/open_intelligence/edge_collection/hasSource.json <span style=\"color: #5bc0de; text-decoration-color: #5bc0de\">▰▰…</span> <span style=\"color: #808000; text-decoration-color: #808000\">0:0…</span>\n</pre>\n",
+                  "text/plain": "GET: https://arangodb-dataset-library-ml.s3.amazonaws.com/open_intelligence/edge_collection/hasSource.json \u001b[38;2;91;192;222m▰▰…\u001b[0m \u001b[33m0:0…\u001b[0m\n"
+                },
+                "metadata": {},
+                "output_type": "display_data"
+              }
+            ]
+          }
+        },
+        "f9f2787c50c14a879c052ecc78cf48fc": {
+          "model_module": "@jupyter-widgets/output",
+          "model_module_version": "1.0.0",
+          "model_name": "OutputModel",
+          "state": {
+            "_dom_classes": [],
+            "_model_module": "@jupyter-widgets/output",
+            "_model_module_version": "1.0.0",
+            "_model_name": "OutputModel",
+            "_view_count": null,
+            "_view_module": "@jupyter-widgets/output",
+            "_view_module_version": "1.0.0",
+            "_view_name": "OutputView",
+            "layout": "IPY_MODEL_1929aaf08f4544edba0a08b91a489ce3",
+            "msg_id": "",
+            "outputs": [
+              {
+                "data": {
+                  "text/html": "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">GET: https://arangodb-dataset-library-ml.s3.amazonaws.com/open_intelligence/edge_collection/eventActor.json <span style=\"color: #5bc0de; text-decoration-color: #5bc0de\">▰…</span> <span style=\"color: #808000; text-decoration-color: #808000\">0:0…</span>\n</pre>\n",
+                  "text/plain": "GET: https://arangodb-dataset-library-ml.s3.amazonaws.com/open_intelligence/edge_collection/eventActor.json \u001b[38;2;91;192;222m▰…\u001b[0m \u001b[33m0:0…\u001b[0m\n"
+                },
+                "metadata": {},
+                "output_type": "display_data"
+              }
+            ]
+          }
+        },
+        "ffdc18c6a4d64e24886e8cd52efbb90f": {
+          "model_module": "@jupyter-widgets/output",
+          "model_module_version": "1.0.0",
+          "model_name": "OutputModel",
+          "state": {
+            "_dom_classes": [],
+            "_model_module": "@jupyter-widgets/output",
+            "_model_module_version": "1.0.0",
+            "_model_name": "OutputModel",
+            "_view_count": null,
+            "_view_module": "@jupyter-widgets/output",
+            "_view_module_version": "1.0.0",
+            "_view_name": "OutputView",
+            "layout": "IPY_MODEL_e720851d72204e31b0cb1f95d8adb3f6",
+            "msg_id": "",
+            "outputs": [
+              {
+                "data": {
+                  "text/html": "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Collection: inCountry <span style=\"color: #5bc0de; text-decoration-color: #5bc0de\">▰▱▱▱▱▱▱</span> <span style=\"color: #808000; text-decoration-color: #808000\">0:00:00</span>\n</pre>\n",
+                  "text/plain": "Collection: inCountry \u001b[38;2;91;192;222m▰▱▱▱▱▱▱\u001b[0m \u001b[33m0:00:00\u001b[0m\n"
+                },
+                "metadata": {},
+                "output_type": "display_data"
+              }
+            ]
+          }
         }
       }
     }
   },
   "nbformat": 4,
   "nbformat_minor": 5
-}
\ No newline at end of file
+}