```json { "table_name": "Zomato Restaurant Dataset", "table_type_tags": [ {"tag": "dimension", "confidence": 0.95} ], "primary_type": "dimension", "insufficient_evidence": false, "entity": { "columns": ["Restaurant ID"], "unique_per_row": true }, "time_axis": null, "reasoning": "Restaurant ID has Uniqueness 1.000 (RPUV 1.00), making each row a unique restaurant record. The columns are purely descriptive attributes (name, location, cuisine, ratings, features like Has Table booking). The four provenance columns (_ingestion_timestamp, _batch_id, _source_file, _source_system) are synthetic load-time metadata and carry no evidence of table type. No event timestamp or sequence column exists to order actions or changes — this is a catalog of restaurants with their static properties at the time of extraction." } ```