Before revision:  This is done via textual entailment instances querying both start and end times of events. We show that TRACIE is challenging for state-of-the-art language models .
After revision:  This introduces a new challenge in temporal reasoning research, where prior work has focused on explicitly mentioned events. Human readers can infer implicit events via commonsense reasoning, resulting in a more comprehensive understanding of the situation and, consequently, better reasoning about time. We find, however, that state-of-the-art language models .