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Large Language Models (LLMs) face three universal limitations in knowledge graph construction: inherent training data biases that propagate through extraction pipelines, fundamental domain adaptation challenges with specialized knowledge, and systematic coverage gaps for long-tail relationships in cross-document scenarios.

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