```json { "table_name": "job_logs", "table_type_tags": [ {"tag": "event", "confidence": 0.90}, {"tag": "path", "confidence": 0.15} ], "primary_type": "event", "insufficient_evidence": false, "entity": { "columns": ["job_id"], "unique_per_row": false }, "time_axis": { "columns": ["ts"], "kind": "event_time" }, "reasoning": "The entity job_id repeats (RPUV 508.06, Uniqueness 0.002) along the event-time axis ts (Uniqueness 1.000). Each row exists because something HAPPENED during job execution — a log entry was emitted (level INFO/DEBUG/ERROR, event_type info/phase_start/phase_end/progress/error). The rows are bare occurrences to count and analyze; replaying them does not reconstruct a meaningful job state — they are diagnostic events, not state transitions. The log_id (Uniqueness 1.000) is an artificial unique ID for each log entry, confirming each row is a distinct occurrence." } ```