Triple

T4773679
Position Surface form Disambiguated ID Type / Status
Subject College of Medicine and Veterinary Medicine E105991 entity
Predicate hasPart P35 FINISHED
Object Deanery of Molecular, Genetic and Population Health Sciences
The Deanery of Molecular, Genetic and Population Health Sciences is an academic division focused on research and education in molecular biology, genetics, and population-level health within a medical and veterinary context.
E468828 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: Deanery of Molecular, Genetic and Population Health Sciences | Statement: [College of Medicine and Veterinary Medicine, hasPart, Deanery of Molecular, Genetic and Population Health Sciences]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Deanery of Molecular, Genetic and Population Health Sciences
Context triple: [College of Medicine and Veterinary Medicine, hasPart, Deanery of Molecular, Genetic and Population Health Sciences]
  • A. 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.
  • B. Faculty of Clinical and Biomedical Sciences
    The Faculty of Clinical and Biomedical Sciences is an academic division of the University of Central Lancashire focused on education and research in medicine, health, and biomedical science disciplines.
  • C. Department of Molecular Biomedical Sciences
    The Department of Molecular Biomedical Sciences is an academic unit focused on research and education in molecular and cellular mechanisms underlying animal and human health within a veterinary medicine context.
  • D. College of Medical, Veterinary and Life Sciences
    The College of Medical, Veterinary and Life Sciences is a major academic division of the University of Glasgow that focuses on education and research in medicine, veterinary science, and the life sciences.
  • E. College of Biomedical and Life Sciences
    The College of Biomedical and Life Sciences is a major academic division of Cardiff University that focuses on education and research in health, biomedical, and life science disciplines.
  • 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: Deanery of Molecular, Genetic and Population Health Sciences
Triple: [College of Medicine and Veterinary Medicine, hasPart, Deanery of Molecular, Genetic and Population Health Sciences]
Generated description
The Deanery of Molecular, Genetic and Population Health Sciences is an academic division focused on research and education in molecular biology, genetics, and population-level health within a medical and veterinary context.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Deanery of Molecular, Genetic and Population Health Sciences
Target entity description: The Deanery of Molecular, Genetic and Population Health Sciences is an academic division focused on research and education in molecular biology, genetics, and population-level health within a medical and veterinary context.
  • A. 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.
  • B. Faculty of Clinical and Biomedical Sciences
    The Faculty of Clinical and Biomedical Sciences is an academic division of the University of Central Lancashire focused on education and research in medicine, health, and biomedical science disciplines.
  • C. Department of Molecular Biomedical Sciences
    The Department of Molecular Biomedical Sciences is an academic unit focused on research and education in molecular and cellular mechanisms underlying animal and human health within a veterinary medicine context.
  • D. College of Medical, Veterinary and Life Sciences
    The College of Medical, Veterinary and Life Sciences is a major academic division of the University of Glasgow that focuses on education and research in medicine, veterinary science, and the life sciences.
  • E. College of Biomedical and Life Sciences
    The College of Biomedical and Life Sciences is a major academic division of Cardiff University that focuses on education and research in health, biomedical, and life science disciplines.
  • 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_69bd43f3074c8190937e7b0a457fe9f1 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6560b3448190a0debbd8da29d986 completed March 20, 2026, 3:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69be43c2995c81909b16baa672c4844a completed March 21, 2026, 7:07 a.m.
NEDg Description generation batch_69be447c21d48190ab57c8761e733ff4 completed March 21, 2026, 7:10 a.m.
NED2 Entity disambiguation (via description) batch_69be45f5ebec8190b62c428b465d1bd9 completed March 21, 2026, 7:17 a.m.
Created at: March 20, 2026, 1:21 p.m.