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

Input Tokens

3202

Output Tokens

245

Cost

$0.00

Context

Input

How many cities does the author mention

Expected output

Model output

The author mentions a total of 13 unique cities across the journal entries:

1. Cartagena (Colombia)
2. Leticia (Colombia)
3. Granada (Spain)
4. Córdoba (Spain)
5. Sevilla (Spain)
6. Cádiz (Spain)
7. Málaga (Spain)
8. Jaén (Spain)
9. Toledo (Spain)
10. Madrid (Spain)
11. Ávila (Spain)
12. Salamanca (Spain)
13. Zamora (Spain)
14. San Sebastián (Spain)
15. Bilbao (Spain)
16. Manchester (England)
17. Chefchaouen (Morocco)
18. Tangier (Morocco)

So in total, the author mentions 18 different cities across these journal entries.