Triple

T717829
Position Surface form Disambiguated ID Type / Status
Subject Department of Public Health and Primary Care, University of Cambridge E14347 entity
Predicate affiliation P10 FINISHED
Object MRC Epidemiology Unit, University of Cambridge
The MRC Epidemiology Unit at the University of Cambridge is a leading research center focused on understanding the causes and prevention of obesity, diabetes, and related metabolic disorders through population-based and clinical studies.
E88281 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: MRC Epidemiology Unit, University of Cambridge | Statement: [Department of Public Health and Primary Care, University of Cambridge, affiliation, MRC Epidemiology Unit, University of Cambridge]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MRC Epidemiology Unit, University of Cambridge
Context triple: [Department of Public Health and Primary Care, University of Cambridge, affiliation, MRC Epidemiology Unit, University of Cambridge]
  • A. Department of Public Health and Primary Care, University of Cambridge
    The Department of Public Health and Primary Care at the University of Cambridge is a leading academic center focused on research and teaching in population health, epidemiology, and primary care practice.
  • B. Division of International Epidemiology and Population Studies
    The Division of International Epidemiology and Population Studies is a research unit focused on global patterns, causes, and control of diseases and population health dynamics.
  • C. NIHR Cambridge Biomedical Research Centre
    The NIHR Cambridge Biomedical Research Centre is a leading UK academic–clinical partnership that drives translational medical research and innovation to improve patient care.
  • D. 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.
  • E. 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.
  • 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: MRC Epidemiology Unit, University of Cambridge
Triple: [Department of Public Health and Primary Care, University of Cambridge, affiliation, MRC Epidemiology Unit, University of Cambridge]
Generated description
The MRC Epidemiology Unit at the University of Cambridge is a leading research center focused on understanding the causes and prevention of obesity, diabetes, and related metabolic disorders through population-based and clinical studies.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: MRC Epidemiology Unit, University of Cambridge
Target entity description: The MRC Epidemiology Unit at the University of Cambridge is a leading research center focused on understanding the causes and prevention of obesity, diabetes, and related metabolic disorders through population-based and clinical studies.
  • A. Department of Public Health and Primary Care, University of Cambridge
    The Department of Public Health and Primary Care at the University of Cambridge is a leading academic center focused on research and teaching in population health, epidemiology, and primary care practice.
  • B. Division of International Epidemiology and Population Studies
    The Division of International Epidemiology and Population Studies is a research unit focused on global patterns, causes, and control of diseases and population health dynamics.
  • C. NIHR Cambridge Biomedical Research Centre
    The NIHR Cambridge Biomedical Research Centre is a leading UK academic–clinical partnership that drives translational medical research and innovation to improve patient care.
  • D. 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.
  • E. 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.
  • 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_69a4934a36e081909e7abef98b898a4e completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a577658881909c12951d63d96377 completed March 1, 2026, 8:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69a64a5a7e788190b5ad2505b68ca48d completed March 3, 2026, 2:41 a.m.
NEDg Description generation batch_69a64e3c1eac8190a62e4b24b0715dc2 completed March 3, 2026, 2:58 a.m.
NED2 Entity disambiguation (via description) batch_69a64ec899ec8190b8d2916c5965fabc completed March 3, 2026, 3 a.m.
Created at: March 1, 2026, 7:37 p.m.