| source_references |
[{"documentId": "batch-ab1be436-e79b-4 [{"documentId": "batch-ab1be436-e79b-436b-8f65-7bbd5d03d519-c311ea18-6f02-461b-936e-65a4bc6e17c6_chunk_15", "startIndex": 100, "endIndex": 106, "surroundingText": "A shared ontology ensures that all systems \u201cspeak the same language\u201d for target data, eliminating", "extractionConfidence": 0.85, "extractionMethod": "LLM_EXTRACTION", "extractedAt": "2025-12-02T22:06:44.659270Z"}, {"documentId": "batch-ab1be436-e79b-436b-8f65-7bbd5d03d519-c311ea18-6f02-461b-936e-65a4bc6e17c6_chunk_15", "startIndex": 626, "endIndex": 632, "surroundingText": "Action: Develop and implement a W3C-compliant ontology for target data that defines", "extractionConfidence": 0.85, "extractionMethod": "LLM_EXTRACTION", "extractedAt": "2025-12-02T22:06:44.659291Z"}, {"documentId": "batch-ab1be436-e79b-436b-8f65-7bbd5d03d519-c311ea18-6f02-461b-936e-65a4bc6e17c6_chunk_15", "startIndex": 668, "endIndex": 674, "surroundingText": ", target, aimpoint, capability, CDE assessment) and their relationships.", "extractionConfidence": 0.85, "extractionMethod": "LLM_EXTRACTION", "extractedAt": "2025-12-02T22:06:44.659307Z"}, {"documentId": "batch-ab1be436-e79b-436b-8f65-7bbd5d03d519-c311ea18-6f02-461b-936e-65a4bc6e17c6_chunk_15", "startIndex": 1192, "endIndex": 1198, "surroundingText": "Deploy a unified, API-driven targeting platform", "extractionConfidence": 0.85, "extractionMethod": "LLM_EXTRACTION", "extractedAt": "2025-12-02T22:06:44.659321Z"}, {"documentId": "batch-ab1be436-e79b-436b-8f65-7bbd5d03d519-c311ea18-6f02-461b-936e-65a4bc6e17c6_chunk_15", "startIndex": 1322, "endIndex": 1328, "surroundingText": "accelerating the targeting cycle and enabling synchronized decision-making between", "extractionConfidence": 0.85, "extractionMethod": "LLM_EXTRACTION", "extractedAt": "2025-12-02T22:06:44.659337Z"}]... |
| transformation_logs |
[{"id": "entity_transform_E-f9f9966eb3 [{"id": "entity_transform_E-f9f9966eb390", "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-ab1be436-e79b-436b-8f65-7bbd5d03d519-c311ea18-6f02-461b-936e-65a4bc6e17c6_chunk_15 using structured JSON schema", "modelName": "LLM_CLIENT", "startedAt": "2025-12-02T22:06:44.656605Z", "completedAt": "2025-12-02T22:06:44.656629Z"}]... |