```json { "table_name": "samples", "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 this a dimension table. The composite (tables_catalog_id, row_index) also appears unique (508 × 20 = 10,160 ≈ 10,118 rows), suggesting each row catalogs one sample from a source table. The row_json column holds the actual sample data as JSON. The columns _ingestion_timestamp, _batch_id, _source_file, and _source_system are provenance metadata (ignored per rules). No usable time axis exists — the provenance timestamp is synthetic processing-time, not a semantic event axis. This is a catalog of data samples, with each row uniquely identifying one sample record." } ```