```json { "table_name": "analysis_runs", "table_type_tags": [ {"tag": "dimension", "confidence": 0.95} ], "primary_type": "dimension", "insufficient_evidence": false, "entity": { "columns": ["jobs_id", "internal_run_id"], "unique_per_row": true }, "time_axis": null, "reasoning": "Both jobs_id and internal_run_id have Uniqueness 1.000 (RPUV 1.00), making each row unique. The table catalogs analysis job executions with their configuration and outcome metrics (LLM calls, tokens, costs, compute time). No time axis exists — _ingestion_timestamp is a provenance column (ignored per rules), and no event timestamp or sequence column orders the runs. Each row is complete information about one analysis run → dimension." } ```