Triple

T9016150
Position Surface form Disambiguated ID Type / Status
Subject Faculty of Medicine and Dentistry E215597 entity
Predicate hasAbbreviation P43 FINISHED
Object QMUL Faculty of Medicine and Dentistry
QMUL Faculty of Medicine and Dentistry is the medical and dental school of Queen Mary University of London, known for its clinical education, biomedical research, and partnerships with major London hospitals.
 E773100 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: QMUL Faculty of Medicine and Dentistry | Statement: [Faculty of Medicine and Dentistry, hasAbbreviation, QMUL Faculty of Medicine and Dentistry]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: QMUL Faculty of Medicine and Dentistry
Context triple: [Faculty of Medicine and Dentistry, hasAbbreviation, QMUL Faculty of Medicine and Dentistry]
  • A. College of Medical and Dental Sciences
    The College of Medical and Dental Sciences is the University of Birmingham’s principal academic division for training healthcare professionals and conducting biomedical and clinical research.
  • B. 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.
  • C. Faculty of Life Sciences & Medicine
    The Faculty of Life Sciences & Medicine is a major academic division of King’s College London specializing in biomedical, health, and life sciences education and research.
  • D. Faculty of Health and Medicine
    The Faculty of Health and Medicine is the division of the University of Newcastle responsible for education and research in health, medical, and clinical sciences.
  • E. UCL Eastman Dental Institute
    UCL Eastman Dental Institute is a leading academic centre for dental education, research, and clinical care within University College London.
  • 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: QMUL Faculty of Medicine and Dentistry
Triple: [Faculty of Medicine and Dentistry, hasAbbreviation, QMUL Faculty of Medicine and Dentistry]
Generated description
QMUL Faculty of Medicine and Dentistry is the medical and dental school of Queen Mary University of London, known for its clinical education, biomedical research, and partnerships with major London hospitals.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: QMUL Faculty of Medicine and Dentistry
Target entity description: QMUL Faculty of Medicine and Dentistry is the medical and dental school of Queen Mary University of London, known for its clinical education, biomedical research, and partnerships with major London hospitals.
  • A. College of Medical and Dental Sciences
    The College of Medical and Dental Sciences is the University of Birmingham’s principal academic division for training healthcare professionals and conducting biomedical and clinical research.
  • B. 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.
  • C. Faculty of Life Sciences & Medicine
    The Faculty of Life Sciences & Medicine is a major academic division of King’s College London specializing in biomedical, health, and life sciences education and research.
  • D. Faculty of Health and Medicine
    The Faculty of Health and Medicine is the division of the University of Newcastle responsible for education and research in health, medical, and clinical sciences.
  • E. UCL Eastman Dental Institute
    UCL Eastman Dental Institute is a leading academic centre for dental education, research, and clinical care within University College London.
  • 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_69ca83a38aa88190bf1bb80c4548b5e2 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc69fd2a888190a20bf18cd226a180 completed April 1, 2026, 12:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfdba8bd8c81909860d561d9d16611 completed April 3, 2026, 3:24 p.m.
NEDg Description generation batch_69cfdcae0e5c81909c50a0b53c1cf7cc completed April 3, 2026, 3:28 p.m.
NED2 Entity disambiguation (via description) batch_69cfdd6a2ba481908d66fed8f05a1297 completed April 3, 2026, 3:31 p.m.
Created at: March 30, 2026, 7:06 p.m.