```json { "table_name": "all_ai_models", "table_type_tags": [ {"tag": "dimension", "confidence": 0.95} ], "primary_type": "dimension", "insufficient_evidence": false, "entity": { "columns": ["Model"], "unique_per_row": true }, "time_axis": null, "reasoning": "Model column has Uniqueness 0.999 (3569 distinct values across 3574 rows), establishing each row as describing a unique AI model. Publication date exists (Uniqueness 0.484) but serves as an attribute of when the model was released, not an axis ordering actions or state changes of the entity. The four provenance columns (_ingestion_timestamp, _batch_id, _source_file, _source_system) are synthetic load-time metadata and carry no evidence. Each row is a catalog entry describing one model's properties (parameters, training compute, organization, accessibility, etc.) — dimension." } ```