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

27s

Input Tokens

2770

Output Tokens

172

Cost

$0.00

Context

Input

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

Expected output

False

Model output

False. Based on the context, the author does not make an entry every week. The journal entries are dated June 14, 1995; October 3, 2002; April 22, 2004; and May 8, 2004. This indicates that there are sometimes years between entries, not a weekly schedule.