How does a knowledge base improve LLM extraction recall?

A knowledge base enriches extraction with hierarchical concept abstractions, confidence calibration, mutual exclusion constraints, and automated property validation. Fed back into the extractor through prompt augmentation, this improved recall across GPT-4.1, GPT-4.1-mini, LLaMA-3.3 70B, and Kimi K2.5 on DocRED.