Triple

T16552665
Position Surface form Disambiguated ID Type / Status
Subject University of Chester E402110 entity
Predicate hasFaculty P141 FINISHED
Object Faculty of Medicine, Dentistry and Life Sciences
The Faculty of Medicine, Dentistry and Life Sciences is an academic division of the University of Chester that focuses on education and research in health, clinical, and biological sciences.
E1220492 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: Faculty of Medicine, Dentistry and Life Sciences | Statement: [University of Chester, hasFaculty, Faculty of Medicine, Dentistry and Life Sciences]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Faculty of Medicine, Dentistry and Life Sciences
Context triple: [University of Chester, hasFaculty, Faculty of Medicine, Dentistry and Life Sciences]
  • A. Faculty of Medicine, Dentistry and Health Sciences
    The Faculty of Medicine, Dentistry and Health Sciences is the University of Melbourne’s major health sciences faculty, encompassing education and research in medicine, dentistry, biomedical sciences, public health and related disciplines.
  • B. Faculty of Medicine, Health and Life Sciences
    The Faculty of Medicine, Health and Life Sciences is a major academic division of Queen’s University Belfast that focuses on education and research in medicine, healthcare, and the life sciences.
  • 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 Medicine, Dentistry and Health
    The Faculty of Medicine, Dentistry and Health is a major academic division of the University of Sheffield that focuses on education and research in clinical medicine, dental sciences, and health-related disciplines.
  • E. Faculty of Medicine & Dentistry
    The Faculty of Medicine & Dentistry is the University of Alberta’s medical and dental school, offering education, research, and clinical training in health sciences and oral health.
  • 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: Faculty of Medicine, Dentistry and Life Sciences
Triple: [University of Chester, hasFaculty, Faculty of Medicine, Dentistry and Life Sciences]
Generated description
The Faculty of Medicine, Dentistry and Life Sciences is an academic division of the University of Chester that focuses on education and research in health, clinical, and biological sciences.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Faculty of Medicine, Dentistry and Life Sciences
Target entity description: The Faculty of Medicine, Dentistry and Life Sciences is an academic division of the University of Chester that focuses on education and research in health, clinical, and biological sciences.
  • A. Faculty of Medicine, Dentistry and Health Sciences
    The Faculty of Medicine, Dentistry and Health Sciences is the University of Melbourne’s major health sciences faculty, encompassing education and research in medicine, dentistry, biomedical sciences, public health and related disciplines.
  • B. Faculty of Medicine, Health and Life Sciences
    The Faculty of Medicine, Health and Life Sciences is a major academic division of Queen’s University Belfast that focuses on education and research in medicine, healthcare, and the life sciences.
  • 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 Medicine, Dentistry and Health
    The Faculty of Medicine, Dentistry and Health is a major academic division of the University of Sheffield that focuses on education and research in clinical medicine, dental sciences, and health-related disciplines.
  • E. Faculty of Medicine & Dentistry
    The Faculty of Medicine & Dentistry is the University of Alberta’s medical and dental school, offering education, research, and clinical training in health sciences and oral health.
  • 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_69d88384bc30819084229e7dcdc39a41 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e34fc6735481908b59bbf80fb3469b completed April 18, 2026, 9:32 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0067b87b608190950b8f14e6aceed3 completed May 10, 2026, 11:10 a.m.
NEDg Description generation batch_6a00686f87408190b7d8a41cd54735d8 completed May 10, 2026, 11:13 a.m.
NED2 Entity disambiguation (via description) batch_6a006b6edd7081908730363b267253dd completed May 10, 2026, 11:26 a.m.
Created at: April 10, 2026, 5:15 a.m.