I need to analyze the temporal trend in this boxing champions dataset. From the evidence, I can see that the data contains championship reigns with begin and end dates. Let me examine the distribution of championship reigns over time to identify any trends. ```json { "action": "tool_call", "reasoning": "I need to analyze the temporal distribution of championship reigns. The Begin_reign column contains dates (though stored as VARCHAR). I'll extract years and count how many championship reigns began in each year to see if there's a trend over time. I'll use string manipulation to extract the year portion since the dates appear to be in various formats.", "tool": "query_sql", "args": { "sql": "SELECT SUBSTRING(Begin_reign, LENGTH(Begin_reign) - 3, 4) AS year, COUNT(*) AS reign_count FROM raw.championsdataset WHERE LENGTH(Begin_reign) >= 4 AND Begin_reign NOT LIKE '%present%' GROUP BY year ORDER BY year", "purpose": "Count championship reigns by year to identify temporal trends", "source": "raw" } } ```