ENTLORE：面向企业问答中潜在组织推理的基于图基准

摘要

企业问答通常被构建为检索内部文档并生成有依据答案的任务。然而，常规企业记录是工作副产品，所需的组织关系隐含于异构来源之中。现有基准虽然提供了真实的多源证据，但往往具体化了一条预定义的答案路径，因此测试的是对已陈述事实的组合能力，而非对语料库中缺失的目标关系的恢复能力。我们将后一种能力称为潜在组织推理。我们提出 ENTLORE，一个基于图的基准构建框架，从常规文档、权威组织表和运营记录中重建一个经审计的企业世界。版本化的组织约定在真值图中认证派生关系，从而支持完整的金标准答案和证明证书。对齐的匿名化发布仅公开文档语料库，同时隐藏私有结构和目标关系。ENTLORE 包含来自三种来源类型的 2,341 份文档，以及 907 个问题，涵盖显式查找、跨源组合和潜在组织推理，并在 56 种模型和访问配置上进行了评估。将发布的世界构建为导出实体图或可导航知识库，可获得最强的可部署结果。然而，即便提供金标准文档，仍有 30.4% 的潜在问题无法回答，而显式问题和组合问题的未回答率分别为 12.6% 和 6.2%。因此，企业问答不仅依赖于文档召回，还取决于隐含的组织关系是否变得可用。基准、数据和代码已在 ENTLORE 公开提供。

English

Enterprise question answering is framed as retrieving internal documents and generating grounded answers. Routine enterprise records, however, are work by-products in which required organizational relations remain implicit across heterogeneous sources. Existing benchmarks provide realistic multi-source evidence, but often materialize a predefined answer path and therefore test the composition of stated facts rather than recovery of a target relation absent from the corpus. We call the latter capability latent organizational reasoning. We introduce ENTLORE, a graph-grounded benchmark construction framework that reconstructs an audited enterprise world from routine documents, authoritative organizational tables, and operational records. Versioned organizational conventions certify derived relations in a truth graph, enabling complete golden answers and proof certificates. The aligned anonymized release exposes only the document corpus while withholding private structure and target relations. ENTLORE contains 2,341 documents from three source types and 907 questions spanning explicit lookup, cross-source composition, and latent organizational reasoning, evaluated across 56 model and access configurations. Structuring the released world as an induced entity graph or navigable knowledge base gives the strongest deployable results. Yet supplying gold documents still leaves 30.4% of latent questions unanswered, versus 12.6% and 6.2% for explicit and compositional questions. Enterprise QA therefore depends not only on document recall, but also on whether implicit organizational relations become usable. The benchmark, data, and code are publicly available at ENTLORE.