Triple

T97365
Position Surface form Disambiguated ID Type / Status
Subject School of Clinical Medicine, University of Cambridge E1961 entity
Predicate hasDepartment P35 FINISHED
Object Department of Surgery, University of Cambridge
The Department of Surgery at the University of Cambridge is an academic and clinical department specializing in surgical research, education, and training within the university’s School of Clinical Medicine.
E13354 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: Department of Surgery, University of Cambridge | Statement: [School of Clinical Medicine, University of Cambridge, hasDepartment, Department of Surgery, University of Cambridge]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Department of Surgery, University of Cambridge
Context triple: [School of Clinical Medicine, University of Cambridge, hasDepartment, Department of Surgery, University of Cambridge]
  • A. Department of Medicine, University of Cambridge
    The Department of Medicine at the University of Cambridge is a major academic and clinical research department focused on advancing medical science and training healthcare professionals within the university’s School of Clinical Medicine.
  • B. School of Clinical Medicine, University of Cambridge
    The School of Clinical Medicine at the University of Cambridge is the institution’s primary center for medical education, clinical training, and biomedical research.
  • C. Department of Surgery, Duke University
    The Department of Surgery at Duke University is a major academic surgical department known for its clinical excellence, surgical innovation, and research and training programs within Duke’s medical school.
  • D. Cambridge University Hospitals NHS Foundation Trust
    Cambridge University Hospitals NHS Foundation Trust is a major NHS teaching and research hospital group in Cambridge, England, that provides specialist and general healthcare services in partnership with the University of Cambridge.
  • E. Department of Psychiatry, University of Cambridge
    The Department of Psychiatry at the University of Cambridge is a leading academic and clinical center focused on research, education, and treatment related to mental health and psychiatric disorders.
  • 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: Department of Surgery, University of Cambridge
Triple: [School of Clinical Medicine, University of Cambridge, hasDepartment, Department of Surgery, University of Cambridge]
Generated description
The Department of Surgery at the University of Cambridge is an academic and clinical department specializing in surgical research, education, and training within the university’s School of Clinical Medicine.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Department of Surgery, University of Cambridge
Target entity description: The Department of Surgery at the University of Cambridge is an academic and clinical department specializing in surgical research, education, and training within the university’s School of Clinical Medicine.
  • A. Department of Medicine, University of Cambridge
    The Department of Medicine at the University of Cambridge is a major academic and clinical research department focused on advancing medical science and training healthcare professionals within the university’s School of Clinical Medicine.
  • B. School of Clinical Medicine, University of Cambridge
    The School of Clinical Medicine at the University of Cambridge is the institution’s primary center for medical education, clinical training, and biomedical research.
  • C. Department of Surgery, Duke University
    The Department of Surgery at Duke University is a major academic surgical department known for its clinical excellence, surgical innovation, and research and training programs within Duke’s medical school.
  • D. Cambridge University Hospitals NHS Foundation Trust
    Cambridge University Hospitals NHS Foundation Trust is a major NHS teaching and research hospital group in Cambridge, England, that provides specialist and general healthcare services in partnership with the University of Cambridge.
  • E. Department of Psychiatry, University of Cambridge
    The Department of Psychiatry at the University of Cambridge is a leading academic and clinical center focused on research, education, and treatment related to mental health and psychiatric disorders.
  • 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_69a24d4862f881908cc8b89d3a78031d completed Feb. 28, 2026, 2:04 a.m.
NER Named-entity recognition batch_69a24feef1b08190bb9525f71cce053e completed Feb. 28, 2026, 2:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69a2981ed378819099ef3fbff2236a94 completed Feb. 28, 2026, 7:24 a.m.
NEDg Description generation batch_69a298822e7c8190b37a31a9cc19bc54 completed Feb. 28, 2026, 7:25 a.m.
NED2 Entity disambiguation (via description) batch_69a298f38e4881908210642539f15378 completed Feb. 28, 2026, 7:27 a.m.
Created at: Feb. 28, 2026, 2:09 a.m.