```json { "table_name": "table_topology", "table_type_tags": [ {"tag": "dimension", "confidence": 0.90} ], "primary_type": "dimension", "insufficient_evidence": false, "entity": { "columns": ["jobs_id", "tables_catalog_id"], "unique_per_row": true }, "time_axis": null, "reasoning": "The composite entity (jobs_id, tables_catalog_id) is unique per row — jobs_id Uniqueness 0.347 × tables_catalog_id Uniqueness 0.967 yields ~323 distinct combinations matching the 334 row count. Each row describes a table's classification within a job context (role: dimension/path/state/event/fact, byte_size, temporal columns). The temporal_columns_json and has_temporal columns are descriptive metadata about the classified tables, not a time axis ordering this table's rows. No action is recorded and no state is derived by replaying rows — this is a catalog of table metadata → dimension." } ```