Context Reasoning

Context understanding and reasoning tasks test accurate answers grounded in provided context. This capability is essential for knowledge-base support bots, policy lookup systems, and internal knowledge Q&A applications. Models are evaluated on their ability to provide accurate answers that are properly grounded in the given context rather than hallucinating information.

Duration

20s

Input Tokens

3209

Output Tokens

231

Cost

$0.00

Context

Input

The author, makes an entry every week, true or false?

Expected output

False

Model output

False. The author does not make entries every week. The journal entries show significant gaps between dates - years pass between entries (1995, 2002, 2004), and the author explicitly states in the October 3, 2002 entry that they haven't written in the journal for ages.