Triple

T906995
Position Surface form Disambiguated ID Type / Status
Subject University of Glasgow E19569 entity
Predicate hasFaculty P141 FINISHED
Object 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.
E106855 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: College of Medical, Veterinary and Life Sciences | Statement: [University of Glasgow, hasFaculty, College of Medical, Veterinary and Life Sciences]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: College of Medical, Veterinary and Life Sciences
Context triple: [University of Glasgow, hasFaculty, College of Medical, Veterinary and Life Sciences]
  • A. College of Medicine and Veterinary Medicine
    The College of Medicine and Veterinary Medicine is a major academic division of the University of Edinburgh that provides education and conducts research in human and animal health sciences.
  • B. College of Life Sciences and Medicine
    The College of Life Sciences and Medicine is a major academic division of the University of Aberdeen that focuses on teaching and research in biological, biomedical, and health-related sciences.
  • C. Royal (Dick) School of Veterinary Studies
    The Royal (Dick) School of Veterinary Studies is a renowned veterinary education and research institution that forms part of the University of Edinburgh in Scotland.
  • D. School of Veterinary Medicine & Biomedical Sciences
    The School of Veterinary Medicine & Biomedical Sciences is Texas A&M University's veterinary and biomedical education, research, and clinical care institution.
  • E. Faculty of Life Sciences
    The Faculty of Life Sciences at the University of Leipzig is an academic division focused on research and education in biological, environmental, and related 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: College of Medical, Veterinary and Life Sciences
Triple: [University of Glasgow, hasFaculty, College of Medical, Veterinary and Life Sciences]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: College of Medical, Veterinary and Life Sciences
Target entity description: 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.
  • A. College of Medicine and Veterinary Medicine
    The College of Medicine and Veterinary Medicine is a major academic division of the University of Edinburgh that provides education and conducts research in human and animal health sciences.
  • B. College of Life Sciences and Medicine
    The College of Life Sciences and Medicine is a major academic division of the University of Aberdeen that focuses on teaching and research in biological, biomedical, and health-related sciences.
  • C. Royal (Dick) School of Veterinary Studies
    The Royal (Dick) School of Veterinary Studies is a renowned veterinary education and research institution that forms part of the University of Edinburgh in Scotland.
  • D. School of Veterinary Medicine & Biomedical Sciences
    The School of Veterinary Medicine & Biomedical Sciences is Texas A&M University's veterinary and biomedical education, research, and clinical care institution.
  • E. Faculty of Life Sciences
    The Faculty of Life Sciences at the University of Leipzig is an academic division focused on research and education in biological, environmental, and related 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_69a4939e889c8190ac148b3ac1a7f90b completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b2cc85a08190bc8186eb9ed1fa38 completed March 1, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7c7391e6c8190836e8d7e7fdf9c93 completed March 4, 2026, 5:46 a.m.
NEDg Description generation batch_69a7c78ba0008190bf884de7f89b4655 completed March 4, 2026, 5:47 a.m.
NED2 Entity disambiguation (via description) batch_69a7c89a0a188190b868b6bebd205cb0 completed March 4, 2026, 5:52 a.m.
Created at: March 1, 2026, 7:39 p.m.