TL;DR sample the top N results from the LLM and use traditional NLP to extract factoids, if the LLM is confabulating the factoids would have random distribution, but if it's not it will be heavily weighted towards one answer.
A figure from the paper shows this better than my TL;DR: https://www.nature.com/articles/s41586-024-07421-0/figures/1