```json { "table_name": "place_ratings", "table_type_tags": [ {"tag": "dimension", "confidence": 0.90}, {"tag": "event", "confidence": 0.15} ], "primary_type": "dimension", "insufficient_evidence": false, "entity": { "columns": ["rating_id"], "unique_per_row": true }, "time_axis": { "columns": ["created_at"], "kind": "event_time" }, "reasoning": "rating_id has Uniqueness 1.000 and Monotonicity 1.000, making each row a unique rating record. The sibling table beer_ratings suggests this is a catalog of place reviews, parallel to beer reviews. user_id (RPUV 13.68) and place_id (RPUV 5.56) repeat, but rating_id uniquely identifies each review occurrence. created_at is an attribute timestamp recording when the review was submitted, not an axis ordering state transitions of the rating entity. The row describes a complete review event with scores (ambiance, service, selection, food, value, overall) and comments — dimension. A weak event reading exists (users submitting reviews), but the unique rating_id per row and the catalog nature (sibling to beer_ratings) make this a dimension table of review records." } ```