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

12s

Input Tokens

3208

Output Tokens

382

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 an entry every week. The journal entries are dated June 14, 1995, then October 3, 2002 (about 7 years later), then April 22, 2004, and finally May 8, 2004. The author even acknowledges the large gaps in their writing, stating in the October 2002 entry: "It's been ages since I last opened this journal" and "I haven't written in here much these past years." The entries are sporadic rather than weekly.