CORE-KG reduces node duplication by 33.28% and legal noise by 38.37% versus a GraphRAG baseline on 20 human smuggling court cases, through type-aware LLM coreference resolution and domain-filtered extraction prompts.
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CORE-KG: An LLM-Driven Knowledge Graph Construction Framework for Human Smuggling Networks
CORE-KG reduces node duplication by 33.28% and legal noise by 38.37% versus a GraphRAG baseline on 20 human smuggling court cases, through type-aware LLM coreference resolution and domain-filtered extraction prompts.