```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 records a log event that happened during a job's execution — phase transitions, progress updates, errors — ordered by ts. The rows are bare occurrences to count and analyze (log analysis, debugging), not state transitions that replay into a meaningful job state. The log_id (Uniqueness 1.000) is an artificial unique ID per log entry, not the entity. Event is the clear primary reading; path has weak support only if one imagines replaying logs to reconstruct job execution state, but that's not the table's purpose." } ```