The study looks at how GPT4 handles inferences of different types of caused motion construction sentences and proposes hypotheses about which underlying ‘representations’ it might rely on to get those results. The more general proposal is that rather traditional linguistic methods can give us insights in the generalizations LLMs are capable of.