```json { "table_name": "analysis_runs", "table_type_tags": [ {"tag": "dimension", "confidence": 0.95} ], "primary_type": "dimension", "insufficient_evidence": false, "entity": { "columns": ["jobs_id"], "unique_per_row": true }, "time_axis": null, "reasoning": "The entity jobs_id has Uniqueness 1.000 (RPUV 1.00), making each row unique information about one analysis run. The internal_run_id (also Uniqueness 1.000) is a secondary unique identifier. No usable time axis exists: _ingestion_timestamp is a provenance column (all rows share the same value, Top 3 Coverage 100%), and no event timestamp or sequence column orders the runs. The table catalogs completed analysis jobs with their execution metrics (LLM calls, tokens, costs, compute time) — dimension." } ```