EntLORE - Cross-Source Composition (GraphRAG): leaderboard

EntLORE (2026) builds an anonymized enterprise world of 2,341 routine documents from an audited truth graph. This board is answer accuracy in percent on its cross-source composition questions (L2), which combine facts stated in several sources, answered through a GraphRAG system that induces an entity graph and community reports from the corpus. Higher is better.

Metric: Answer accuracy (%; L2, 204 questions composing facts stated in several sources; corpus-induced GraphRAG: an entity graph and community reports induced offline from the released corpus; 907 questions over 2,341 anonymized enterprise documents; programmatic scoring for entity, set, count and ordered answers, atomic-claim entailment judged by Claude Opus 4.8 for free-form answers). Source: arxiv.org. Saturation forecast: Around February 2027. 8 models tracked.

Top models

#ModelScoreOverall rank
1DeepSeek V4 Flash (Reasoning)51.7#258 (DeepSeek V4 Flash)
2GPT-5.451.5#123
3DeepSeek V4 Pro (Reasoning)48.8#188 (DeepSeek V4 Pro)
4Qwen 3.5 397B A17B46.6#246
5GLM-5.246.5#138
6Claude Sonnet 4.6 (Thinking)43.7#161 (Claude Sonnet 4.6)
7Kimi K2.640.9#178
8GPT-5.4 Mini32.9#389

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

Interactive version: theaggregate.ai/benchmark?slug=entlore-cross-source-composition-graphrag · How It Works · Data refreshed daily, snapshot 2026-11-13.