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

3231

Output Tokens

2202

Cost

$0.00

Context

Input

Order all the cities named in the text by time of visiting them

Expected output

1.Cartagena (14 Jun 1995) 2.Leticia (mid-Jun 1995, the day after Cartagena) 3.Manchester (3 Oct 2002 entry) 4.Tangier (mid-Apr 2004, one week before 22 Apr) 5.Chefchaouen (mid-Apr 2004, just after Tangier) 6.Granada (22 Apr 2004) 7.Córdoba 8.Sevilla 9.Cádiz 10.Málaga 11.Jaén 12.Toledo 13.Madrid 14.Ávila 15.Salamanca 16.Zamora 17.San Sebastián 18.Bilbao (8 May 2004)

Model output

The cities ordered by the time of the writer's documented visit, starting with the earliest, are:

1. **Cartagena**, Colombia (Dated June 14, 1995 visit)
2. **Leticia**, Colombia (Planned visit immediately following Cartagena in 1995)
3. **Manchester**, England (Location when writing entry dated October 3, 2002, reflecting on life before trips)
4. **Tangier**, Morocco (Visited immediately before Chefchaouen/Granada, entry dated April 22, 2004)
5. **Chefchaouen**, Morocco (Visited before Granada, entry dated April 22, 2004)
6. **Granada**, Spain (Current location when writing entry dated April 22, 2004)
7. **Córdoba**, Spain (First stop on the Spain tour detailed in the May 8, 2004 entry)
8. **Sevilla**, Spain
9. **Cádiz**, Spain
10. **Málaga**, Spain
11. **Jaén**, Spain
12. **Toledo**, Spain
13. **Madrid**, Spain
14. **Ávila**, Spain
15. **Salamanca**, Spain
16. **Zamora**, Spain
17. **San Sebastián**, Spain
18. **Bilbao**, Spain (Current location when writing entry dated May 8, 2004)