```json { "table_name": "benchmarks", "primary_key": "id_runs", "candidates": [ { "rank": 0, "partition_key": "id_runs", "partition_key_label": "primary_identifier", "partition_key_reasoning": "id_runs is the unique identifier with RPUV=1.00, uniqueness=1.000, and 1311 unique values for 1311 rows. It is the entity_columns identified by the classifier. As a dimension table, this is the natural partition key representing each benchmark run.", "clustering_key": null, "clustering_key_label": null, "clustering_key_reasoning": "Dimension tables typically do not require internal sorting. No temporal or sequential ordering is needed within benchmark run records.", "world_line": null, "session_column": null, "confidence": "HIGH", "notes": "This is a dimension table cataloging AI model benchmark runs. The primary key id_runs uniquely identifies each run. The table contains 69 columns of metadata about models, tasks, scores, and training details. No clustering is needed as dimension tables are typically accessed by their primary key for lookups." } ] } ```