I have already obtained comprehensive column metadata from the `ai_supercomputers` table through multiple inspect_columns calls. Let me now query the complete column classification information to provide a definitive answer. ```json { "action": "tool_call", "reasoning": "I need to get the complete list of all 61 columns with their types and semantic roles. The inspect_columns results so far show 50 columns but the table has 61. I'll query the meta.columns table directly to get all columns with their physical types and semantic roles, which will allow me to classify them comprehensively.", "tool": "query_sql", "args": { "sql": "SELECT column_name, phys_type, semantic_role FROM meta.columns WHERE table_name = 'ai_supercomputers' ORDER BY column_name", "purpose": "Get complete classification of all 61 columns by type and semantic role" } } ```