Opper

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.

Input Tokens

Output Tokens

Duration

Cost

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

Cities ordered by time of visiting:

1. **Cartagena, Colombia** - June 7, 1995 (approximately)
2. **Leticia, Colombia** - June 15, 1995 (planned)
3. **Manchester, England** - October 3, 2002
4. **Chefchaouen, Morocco** - April 11-15, 2004 (approximately)
5. **Tangier, Morocco** - April 15, 2004 (approximately)
6. **Granada, Spain** - April 20, 2004
7. **Córdoba, Spain** - Late April 2004
8. **Sevilla, Spain** - Late April 2004
9. **Cádiz, Spain** - Late April 2004
10. **Málaga, Spain** - Late April 2004
11. **Jaén, Spain** - Late April/Early May 2004
12. **Toledo, Spain** - Early May 2004
13. **Madrid, Spain** - Early May 2004
14. **Ávila, Spain** - Early May 2004
15. **Salamanca, Spain** - Early May 2004
16. **Zamora, Spain** - Early May 2004
17. **San Sebastián, Spain** - Early May 2004
18. **Bilbao, Spain** - May 8, 2004