An LLM, as the name implies, only has access to words. It can only model things about those words and the relationships between them. It never has access to the actual things the words represent.
So it absolutely has experiential knowledge of words but not of the actual things.
(You can absolutely train models on other inputs. I have no objections to those not being stochastic parrots)