```json { "table_name": "quality_scorecards", "table_type_tags": [ {"tag": "dimension", "confidence": 0.95} ], "primary_type": "dimension", "insufficient_evidence": false, "entity": { "columns": ["id"], "unique_per_row": true }, "time_axis": null, "reasoning": "The entity id is unique per row (Uniqueness 1.000, RPUV 1.00), and each row describes a quality assessment report for a dataset batch. The composite (jobs_id, dataset_id, batch_id) also appears unique (all Uniqueness ≥ 0.974), pinning down which job/dataset/batch the scorecard evaluates. No usable time axis exists — _ingestion_timestamp is a provenance column (ignored per rules), and no event timestamp or sequence column orders actions. The row records WHAT the quality state IS (overall_score, data_completeness, referential_integrity metrics), not an action that happened or a state transition. Cross-table context shows sibling tables (jobs, datasets, batches) that this table references, making it a catalog of quality reports: dimension." } ```