```json { "table_name": "sample_queries", "table_type_tags": [ {"tag": "dimension", "confidence": 0.95} ], "primary_type": "dimension", "insufficient_evidence": false, "entity": { "columns": ["id"], "unique_per_row": true }, "time_axis": { "columns": ["created_at"], "kind": "event_time" }, "reasoning": "The entity id is unique per row (Uniqueness 1.000, RPUV 1.00). Each row is a catalog entry describing a sample query — query_text, description, engine, model_name, and latency_ms are attributes of that query record. The created_at timestamp records when the query was cataloged, making it an attribute of the query entry, not an axis ordering actions or state changes of the query itself. The table defines a reference catalog of queries (sibling tables like search_engine_benchmark likely reference these query IDs), and no row exists because something happened to a query — each row IS a query definition. Dimension." } ```