| source_references |
[{"documentId": "batch-6230f977-baf4-4 [{"documentId": "batch-6230f977-baf4-4cbf-b378-435caf281eee-d805491a-e08e-4f14-9661-7f471ce1723f_chunk_0", "startIndex": 509, "endIndex": 519, "surroundingText": "Each row includes drip irrigation lines connected to soil moisture sensors (Decagon 5TM) that report volumetric water content every 15 minutes.", "extractionConfidence": 0.85, "extractionMethod": "LLM_EXTRACTION", "extractedAt": "2025-12-02T01:00:33.633825Z"}, {"documentId": "batch-6230f977-baf4-4cbf-b378-435caf281eee-d805491a-e08e-4f14-9661-7f471ce1723f_chunk_0", "startIndex": 699, "endIndex": 709, "surroundingText": "The orchard relies on an AI scheduler, branded OrchardBrain, to time irrigation and foliar nutrient sprays.", "extractionConfidence": 0.85, "extractionMethod": "LLM_EXTRACTION", "extractedAt": "2025-12-02T01:00:33.633846Z"}]... |
| transformation_logs |
[{"id": "entity_transform_E-7db49181df [{"id": "entity_transform_E-7db49181dfb7", "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-6230f977-baf4-4cbf-b378-435caf281eee-d805491a-e08e-4f14-9661-7f471ce1723f_chunk_0 using structured JSON schema", "modelName": "LLM_CLIENT", "startedAt": "2025-12-02T01:00:33.632346Z", "completedAt": "2025-12-02T01:00:33.632382Z"}]... |