| source_references |
[{"documentId": "batch-31c0285e-ef14-4 [{"documentId": "batch-31c0285e-ef14-4c54-807e-7adeffb0dff2-b68a7b8c-34fe-4066-9530-a81703af497d_chunk_6", "startIndex": 1986, "endIndex": 1995, "surroundingText": "\uf0b7 Visible \u2013 Consumers can locate the needed data.", "extractionConfidence": 0.85, "extractionMethod": "LLM_EXTRACTION", "extractedAt": "2025-12-03T01:52:16.264623Z"}, {"documentId": "batch-31c0285e-ef14-4c54-807e-7adeffb0dff2-b68a7b8c-34fe-4066-9530-a81703af497d_chunk_6", "startIndex": 2040, "endIndex": 2049, "surroundingText": "\uf0b7 Accessible \u2013 Consumers can retrieve the data.", "extractionConfidence": 0.85, "extractionMethod": "LLM_EXTRACTION", "extractedAt": "2025-12-03T01:52:16.264639Z"}, {"documentId": "batch-31c0285e-ef14-4c54-807e-7adeffb0dff2-b68a7b8c-34fe-4066-9530-a81703af497d_chunk_6", "startIndex": 2093, "endIndex": 2102, "surroundingText": "\uf0b7 Understandable \u2013 Consumers can find descriptions of data to recognize the content,", "extractionConfidence": 0.85, "extractionMethod": "LLM_EXTRACTION", "extractedAt": "2025-12-03T01:52:16.264657Z"}, {"documentId": "batch-31c0285e-ef14-4c54-807e-7adeffb0dff2-b68a7b8c-34fe-4066-9530-a81703af497d_chunk_6", "startIndex": 2200, "endIndex": 2209, "surroundingText": "\uf0b7 Linked \u2013 Consumers can exploit complementary data elements through innate", "extractionConfidence": 0.85, "extractionMethod": "LLM_EXTRACTION", "extractedAt": "2025-12-03T01:52:16.264673Z"}, {"documentId": "batch-31c0285e-ef14-4c54-807e-7adeffb0dff2-b68a7b8c-34fe-4066-9530-a81703af497d_chunk_6", "startIndex": 2298, "endIndex": 2307, "surroundingText": "\uf0b7 Trustworthy \u2013 Consumers can be confident in all aspects of data for decision-making.", "extractionConfidence": 0.85, "extractionMethod": "LLM_EXTRACTION", "extractedAt": "2025-12-03T01:52:16.264690Z"}]... |
| transformation_logs |
[{"id": "entity_transform_E-ec3b662bbe [{"id": "entity_transform_E-ec3b662bbe04", "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_6 using structured JSON schema", "modelName": "LLM_CLIENT", "startedAt": "2025-12-03T01:52:16.258228Z", "completedAt": "2025-12-03T01:52:16.258250Z"}]... |