| source_references |
[{"documentId": "batch-31c0285e-ef14-4 [{"documentId": "batch-31c0285e-ef14-4c54-807e-7adeffb0dff2-b68a7b8c-34fe-4066-9530-a81703af497d_chunk_1", "startIndex": 37, "endIndex": 41, "surroundingText": "le \u2013 Consumers can locate the needed data.", "extractionConfidence": 0.85, "extractionMethod": "LLM_EXTRACTION", "extractedAt": "2025-12-03T01:52:04.503092Z"}, {"documentId": "batch-31c0285e-ef14-4c54-807e-7adeffb0dff2-b68a7b8c-34fe-4066-9530-a81703af497d_chunk_1", "startIndex": 53, "endIndex": 57, "surroundingText": ") Make Data Accessible \u2013 Consumers can retrieve the data.", "extractionConfidence": 0.85, "extractionMethod": "LLM_EXTRACTION", "extractedAt": "2025-12-03T01:52:04.503115Z"}, {"documentId": "batch-31c0285e-ef14-4c54-807e-7adeffb0dff2-b68a7b8c-34fe-4066-9530-a81703af497d_chunk_1", "startIndex": 98, "endIndex": 102, "surroundingText": ") Make Data Accessible \u2013 Consumers can retrieve the data.", "extractionConfidence": 0.85, "extractionMethod": "LLM_EXTRACTION", "extractedAt": "2025-12-03T01:52:04.503131Z"}, {"documentId": "batch-31c0285e-ef14-4c54-807e-7adeffb0dff2-b68a7b8c-34fe-4066-9530-a81703af497d_chunk_1", "startIndex": 114, "endIndex": 118, "surroundingText": ") Make Data Understandable \u2013 Consumers can recognize the content, context, and", "extractionConfidence": 0.85, "extractionMethod": "LLM_EXTRACTION", "extractedAt": "2025-12-03T01:52:04.503146Z"}, {"documentId": "batch-31c0285e-ef14-4c54-807e-7adeffb0dff2-b68a7b8c-34fe-4066-9530-a81703af497d_chunk_1", "startIndex": 212, "endIndex": 216, "surroundingText": ") Make Data Linked \u2013 Consumers can exploit data elements through innate", "extractionConfidence": 0.85, "extractionMethod": "LLM_EXTRACTION", "extractedAt": "2025-12-03T01:52:04.503162Z"}]... |
| transformation_logs |
[{"id": "entity_transform_E-e84f46cdff [{"id": "entity_transform_E-e84f46cdff73", "stage": "TRANSFORMATION_STAGE_ENTITY_EXTRACTION", "method": "TRANSFORMATION_METHOD_LLM_PROMPT", "fromState": "raw_document_text", "toState": "extracted_entities", "finalConfidence": 0.85, "reasoning": "LLM-based entity extraction from document batch-31c0285e-ef14-4c54-807e-7adeffb0dff2-b68a7b8c-34fe-4066-9530-a81703af497d_chunk_1 using structured JSON schema", "modelName": "LLM_CLIENT", "startedAt": "2025-12-03T01:52:04.502634Z", "completedAt": "2025-12-03T01:52:04.502656Z"}]... |