```json { "table_name": "column_classifications", "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 has Uniqueness 1.000 (every row unique), making each row a distinct classification assignment. The composite (classification_candidate_id, columns_catalog_id) with RPUV 14.96 and 1.19 respectively forms the natural grain — a candidate's classification of a specific column. No time axis exists: _ingestion_timestamp is a provenance column (100% identical value, leading underscore). The column_label values (TOPOLOGY, MEASURE, COORDINATE) are descriptive attributes of each classification record. This is a catalog of column classification assignments → dimension." } ```