EntLORE - Latent Organizational Reasoning (LLM Wiki): 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 latent organizational reasoning questions (L3), whose target relation is stated in no document and must be recovered from routine records, answered through an agent that browses the corpus compiled offline into a navigable wiki. Higher is better.
Metric: Answer accuracy (%; L3, 234 questions whose target relation is stated in no document; LLM wiki: the corpus compiled offline into a navigable wiki read through the same agent loop; 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 September 2027. 8 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | GPT-5.4 | 35.5 | #123 |
| 2 | Claude Sonnet 4.6 (Thinking) | 34.6 | #161 (Claude Sonnet 4.6) |
| 3 | GLM-5.2 | 30.8 | #138 |
| 4 | DeepSeek V4 Flash (Reasoning) | 30.6 | #258 (DeepSeek V4 Flash) |
| 5 | DeepSeek V4 Pro (Reasoning) | 29.6 | #188 (DeepSeek V4 Pro) |
| 6 | GPT-5.4 Mini | 26.5 | #389 |
| 7 | Qwen 3.5 397B A17B | 20.4 | #246 |
| 8 | Kimi K2.6 | 14 | #178 |
No result here: #1 Claude Fable 5.2, #2 Gemini 4 Carbon, #5 Claude Opus 5.5.
Interactive version: theaggregate.ai/benchmark?slug=entlore-latent-organizational-reasoning-llm-wiki · How It Works · Data refreshed daily, snapshot 2026-11-13.