claim
The KG-IRAG (Knowledge Graph-Based Iterative Retrieval-Augmented Generation) system outperforms standard Graph-RAG and KG-RAG methods by using reasoning prompts to guide data retrieval based on whether current data is sufficient to generate an answer and identifying which time and entity to explore next based on abnormal events.

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