{
  "id": 3414217,
  "title": "Constrained Entity Selection under Partial Knowledge for LLM-Based Knowledge Graph QA",
  "url": "https://urgent.news/2026/08/25/constrained-entity-selection-under-partial-knowledge-for-llm-based",
  "topic": "ai",
  "section": "AI",
  "published": "2026-08-25T17:04:32.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2608.24824v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Large language models are increasingly used for knowledge graph question answering (KGQA), but can fail to correctly ground answers in the underlying graph. Current approaches to LLM-based KGQA either rely on full semantic parsing into executable queries such as SPARQL, which is brittle in practice due to complex schemas or incompleteness of real-world KGs, or on LLM-reasoning and answer…",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}