Triple

T22586120
Position Surface form Disambiguated ID Type / Status
Subject Oxford University departments E564796 entity
Predicate includesDepartment P12024 FINISHED
Object Nuffield Department of Medicine
The Nuffield Department of Medicine is a major medical science department at the University of Oxford, known for its leading research in global health, infectious diseases, immunology, and translational medicine.
E1545361 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Nuffield Department of Medicine | Statement: [Oxford University departments, includesDepartment, Nuffield Department of Medicine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nuffield Department of Medicine
Context triple: [Oxford University departments, includesDepartment, Nuffield Department of Medicine]
  • A. UCL Faculty of Medical Sciences
    UCL Faculty of Medical Sciences is a major academic division of University College London that focuses on medical education, biomedical research, and clinical training in partnership with leading hospitals and research institutes.
  • B. Deanery of Biomedical Sciences
    The Deanery of Biomedical Sciences is an academic division within the College of Medicine and Veterinary Medicine that oversees teaching and research in the biomedical sciences.
  • C. Wellcome–MRC Institute of Metabolic Science
    The Wellcome–MRC Institute of Metabolic Science is a leading research center at the University of Cambridge focused on understanding and treating metabolic diseases such as obesity and diabetes.
  • D. UCL Wolfson Institute for Biomedical Research
    The UCL Wolfson Institute for Biomedical Research is a leading research institute at University College London focused on advancing understanding of human disease and translating basic biomedical discoveries into new therapies.
  • E. UCLH Biomedical Research Centre
    The UCLH Biomedical Research Centre is a major UK academic health science hub that supports cutting-edge translational research and innovation in partnership with University College London Hospitals and UCL.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Nuffield Department of Medicine
Triple: [Oxford University departments, includesDepartment, Nuffield Department of Medicine]
Generated description
The Nuffield Department of Medicine is a major medical science department at the University of Oxford, known for its leading research in global health, infectious diseases, immunology, and translational medicine.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Nuffield Department of Medicine
Target entity description: The Nuffield Department of Medicine is a major medical science department at the University of Oxford, known for its leading research in global health, infectious diseases, immunology, and translational medicine.
  • A. UCL Faculty of Medical Sciences
    UCL Faculty of Medical Sciences is a major academic division of University College London that focuses on medical education, biomedical research, and clinical training in partnership with leading hospitals and research institutes.
  • B. Deanery of Biomedical Sciences
    The Deanery of Biomedical Sciences is an academic division within the College of Medicine and Veterinary Medicine that oversees teaching and research in the biomedical sciences.
  • C. Wellcome–MRC Institute of Metabolic Science
    The Wellcome–MRC Institute of Metabolic Science is a leading research center at the University of Cambridge focused on understanding and treating metabolic diseases such as obesity and diabetes.
  • D. UCL Wolfson Institute for Biomedical Research
    The UCL Wolfson Institute for Biomedical Research is a leading research institute at University College London focused on advancing understanding of human disease and translating basic biomedical discoveries into new therapies.
  • E. UCLH Biomedical Research Centre
    The UCLH Biomedical Research Centre is a major UK academic health science hub that supports cutting-edge translational research and innovation in partnership with University College London Hospitals and UCL.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69e245836014819091b91ed3074742a3 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f1615d1fe081908079f777cdab12a2 completed April 29, 2026, 1:39 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b3d584fb88190b64be86c696a25eb completed May 18, 2026, 4:24 p.m.
NEDg Description generation batch_6a0b4993d9148190a222e21a7b2b633f completed May 18, 2026, 5:17 p.m.
NED2 Entity disambiguation (via description) batch_6a0b4a2de1848190bf4728c204e27703 completed May 18, 2026, 5:19 p.m.
Created at: April 17, 2026, 2:46 p.m.