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.

100
Duration
2m 33s
Input Tokens
5889
Output Tokens
283
Cost
$0.00
Context
Input
Which patient talked on the phone with a doctor, and what were their symptoms?
Expected output
Melisa Farrow, who had 38.5°C fever, cough, her left side hurts, has pain when breathing and feels dizzy
Model output
The patient who talked on the phone with a doctor is Melisa Farrow. During the phone call on 2025-05-20, she reported worsening symptoms including chills, increased pain when breathing, dizziness, and a fever of 38.5°C. Her confirmed diagnosis was acute community-acquired pneumonia (left lower lobe) with pleuritic chest pain secondary to infection. Her symptoms included cough, chest pain (pressure worse when lying down), chills, dizziness, fever, and difficulty breathing. The other patient, Oscar Jansson, did not have a phone call with a doctor documented but had in-person consultations related to mild persistent asthma with symptoms mainly of breathing difficulty, chest tightness, and occasional dry cough.