A self-evolving knowledge base grows and reorganizes itself from the output of the system it supports. In DySECT, an LLM extracts concept-level triples that the knowledge base consolidates, scores for confidence, clusters into hierarchies, and checks for conflicts such as mutually exclusive relations. That curated knowledge is then fed back to guide the next extraction pass.
