```json { "table_name": "deleted_datasets", "table_type_tags": [ {"tag": "path", "confidence": 0.80}, {"tag": "dimension", "confidence": 0.30} ], "primary_type": "path", "insufficient_evidence": false, "entity": { "columns": ["dataset_id"], "unique_per_row": true }, "time_axis": { "columns": ["created_at", "deleted_at", "purged_at"], "kind": "event_time" }, "reasoning": "dataset_id is unique per row (Uniqueness 1.000), and the table records a complete lifecycle of dataset deletion with three timestamped transitions: created_at → deleted_at → purged_at. Each row traces the entity's progression through states (created, deleted, purged) laid out horizontally in columns — this is the wide-form path pattern. The lifecycle is complete (all three timestamps present, 0% nulls), making this a strong path reading despite entity uniqueness." } ```