Doc2DB-Bench - Mutual Exclusion: leaderboard

The Mutual Exclusion capability of Doc2DB-Bench (2026), document-to-database construction: relationship-table cells annotated as requiring respecting constraints that exclude combinations, scored by cell-level F1 in percent; higher is better.

Metric: Cell-level F1 (%; relation-table cells annotated with the Mutual Exclusion capability of the inter-table taxonomy (Section 5.3); 203 synthesized long-document instances over 42 database schemas from BIRD and Spider in seven domain groups; identical prompts, greedy decoding at temperature 0; cells aligned by global maximum-weight tuple matching, a cell matching on exact numeric equality or at least 90 percent string similarity). Source: arxiv.org. Saturation forecast: Around February 2027. 8 models tracked.

Top models

#ModelScoreOverall rank
1GPT-5.474.46#123
2Gemini 2.5 Pro70.39#266
3Claude Opus 4.661.96#102
4GPT-4o60.18#741
5DeepSeek V4 Flash58.45#258
6Llama 3.1 70B Instruct56.94#1546
7Qwen 3 Max54.61#403
8Qwen 2.5 14B Instruct36.41#1732

No result here: #1 Claude Fable 5.2, #2 Gemini 4 Carbon, #5 Claude Opus 5.5.

Interactive version: theaggregate.ai/benchmark?slug=doc2db-bench-mutual-exclusion · How It Works · Data refreshed daily, snapshot 2026-11-13.