Take the example of creating an accurate ontology. You could try to use a large language model to develop simpler, human-readable conceptual relations out of whatever mess of complexity currently constitutes an LLM concept. You could use ratings of the accuracy or reasonability of rules and cross-validated tests against the structure of human hand-crafted ontologies (ie, iteratively derive wikidata from LLMs trying to predict wikidata).