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.

Context Reasoning – openai/o1 Task | Opper AI

Input Tokens

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Output Tokens

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Duration

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Context

Input

Return the Re-examination of the patient admitted to the hospital 2025-05-20 at 09.10

Expected output

Temperature: 38.8°C, Pulse: 102 bpm, Respiratory Rate: 22/min, O2 Sat: 93% (room air), BP: 114/68, Appearance: Pale, visibly unwell, clutching left side with each cough, Auscultation: Clear crackles LLL (Left Lower Lobe), slightly diminished breath sounds in same area, Percussion: Dullness confirmed, CRP: 98 mg/L, CBC:, WBC: 13.7 x10⁹/L (elevated), Neutrophils: 9.6 x10⁹/L, ECG: Sinus tachycardia, no ischemia, Chest X-ray (STAT reading):, Infiltrate in left lower lobe, mild pleural effusion, Consistent with community-acquired pneumonia

Model output

RE-EXAMINATION — 2025-05-20 @ 09:10
• Temperature: 38.8°C
• Pulse: 102 bpm
• Respiratory Rate: 22/min
• O2 Sat: 93% (room air)
• BP: 114/68
• Appearance: Pale, visibly unwell, clutching left side with each cough
• Auscultation: Clear crackles in the left lower lobe, slightly diminished breath sounds in the same area
• Percussion: Dullness confirmed
• CRP: 98 mg/L
• CBC: WBC 13.7 x10^9/L (elevated), Neutrophils 9.6 x10^9/L
• ECG: Sinus tachycardia, no ischemia
• Chest X-ray (STAT reading): Infiltrate in the left lower lobe with mild pleural effusion, consistent with community-acquired pneumonia