Are Large Language Models Effective Knowledge Graph Constructors?

arXiv:2510.11297 · cs.CL · Submitted 2025-10-13 · Read on arXiv

cs.CL

Submitted: 2025-10-13

Updated: 2026-08-27

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Knowledge Graph — 94× in this paper · explained in 7 episodes
• Abstraction — 32× in this paper · explained in 1 episode
• Knowledge graphs — 31× in this paper · explained in 2 episodes
• Graph Construction — 26× in this paper · explained in 3 episodes
• Accuracy — 14× in this paper · explained in 1 episode
• Downstream Tasks — 7× in this paper · explained in 2 episodes
• Consistency — 6× in this paper · explained in 3 episodes
• Ontology — 6× in this paper · explained in 2 episodes
• Hallucination — 5× in this paper · explained in 3 episodes
• Interpretability — 4× in this paper · explained in 15 episodes
• Core — 3× in this paper · explained in 2 episodes
• Large Language Models (LLMs) — 3× in this paper · explained in 6 episodes
• F1 Score — 2× in this paper · explained in 3 episodes
• Redundancy — 2× in this paper · explained in 2 episodes
• Verification — 2× in this paper · explained in 2 episodes
• Verifier — 2× in this paper · explained in 2 episodes
• Ablation — 1× in this paper · explained in 1 episode
• Ablation study — 1× in this paper · explained in 1 episode
• Adam — 1× in this paper · explained in 2 episodes
• Adaptability — 1× in this paper · explained in 1 episode
• Alignment — 1× in this paper · explained in 1 episode
• Benchmark — 1× in this paper · explained in 2 episodes
• Hierarchical Framework — 1× in this paper · explained in 2 episodes
• In-Context Learning — 1× in this paper · explained in 4 episodes
• Multi-hop Reasoning — 1× in this paper · explained in 3 episodes
• RAG — 1× in this paper · explained in 3 episodes
• Transfer Learning — 1× in this paper · explained in 10 episodes
• Transformer — 1× in this paper · explained in 2 episodes

Sources

• From Local to Global: A Graph RAG Approach to Query-Focused Summarization
• LLMs-as-Judges: A Comprehensive Survey on LLM-based Evaluation Methods

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