```json { "table_name": "query_log", "table_type_tags": [ {"tag": "event", "confidence": 0.90}, {"tag": "path", "confidence": 0.15} ], "primary_type": "event", "insufficient_evidence": false, "entity": { "columns": ["query_id"], "unique_per_row": true }, "time_axis": { "columns": ["created_at"], "kind": "event_time" }, "reasoning": "query_id is unique per row (Uniqueness 1.000), identifying each query execution. created_at is the event timestamp (Uniqueness 1.000, Monotonicity 0.479 suggests chronological ordering). Each row records a query execution event — a user or system submitted a query at a point in time. The rows are occurrences to count and analyze (queries per dataset, error rates, cost trends), not state transitions that replay into a meaningful entity state. The unique query_id makes each execution a distinct occurrence rather than a repeating entity whose state evolves. Event." } ```