```json { "table_name": "column_taxonomy", "table_type_tags": [ {"tag": "dimension", "confidence": 0.90} ], "primary_type": "dimension", "insufficient_evidence": false, "entity": { "columns": ["jobs_id", "columns_catalog_id"], "unique_per_row": true }, "time_axis": null, "reasoning": "The composite entity (jobs_id, columns_catalog_id) is unique per row: jobs_id has 116 distinct values with RPUV 43.51, columns_catalog_id has 4887 distinct values with Uniqueness 0.968, and their product (116 × 4887 ≈ 566,892) far exceeds the 5,047 row count, confirming uniqueness. The table catalogs taxonomic classifications (family, subtype, measurement_level, aggregation_profile) for columns within jobs. The _ingestion_timestamp is a provenance column (single value across all rows, Top 3 Coverage 100%) and carries no temporal axis. No event timestamp or sequence column exists. Each row describes one column's classification within one job → dimension." } ```