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

3061

Output Tokens

645

Cost

$0.00

Context

Input

How many cities does the author mention

Expected output

Model output


      The author mentions **17 cities** in total across their journal entries:
      - **Colombia**: Cartagena, Leticia (2)
      - **Spain**: Granada, Córdoba, Sevilla, Cádiz, Málaga, Jaén, Toledo, Madrid, Ávila, Salamanca, Zamora, San Sebastián, Bilbao (13)
      - **Morocco**: Tangier, Chefchaouen (2).
      \n      *Note*: Manchester (England) is referenced but not counted as part of the travel log.