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Propagating construction-time knowledge quality into medical question answering: A framework grounded in clinical guidelines

arXiv · AI, language, vision and robotics · article · Aug 28, 2026 · UTC

Large language models have facilitated knowledge graph (KG) construction from clinical guidelines, but extracted triples vary in structural validity and evidential support. Meanwhile, graph-augmented question answering (QA) systems typically optimize query relevance during retrieval, with limited reuse of quality information produced during KG construction. This creates a disconnect between construction-time quality control and inference-time evidence use. We investigate whether construction-time triple quality can serve as a persistent signal for downstream evidence selection and presentation

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