Triple

T3009092
Position Surface form Disambiguated ID Type / Status
Subject Faculty of Dentistry, Université de Montréal E81972 entity
Predicate affiliation P10 FINISHED
Object Université de Montréal health sciences sector E11608 NE FINISHED

How this triple was built (2 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: Université de Montréal health sciences sector | Statement: [Faculty of Dentistry, Université de Montréal, affiliation, Université de Montréal health sciences sector]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Université de Montréal health sciences sector
Context triple: [Faculty of Dentistry, Université de Montréal, affiliation, Université de Montréal health sciences sector]
  • A. McGill University Health Sciences sector
    The McGill University Health Sciences sector is the overarching academic and clinical ecosystem at McGill that integrates its health-related faculties, research institutes, and teaching hospitals to advance education, research, and patient care in the health sciences.
  • B. Faculty of Medicine and Health Sciences of McGill University
    The Faculty of Medicine and Health Sciences of McGill University is a leading Canadian academic faculty that trains health professionals and conducts biomedical and clinical research across disciplines such as medicine, nursing, and allied health.
  • C. Université de Montréal chosen
    Université de Montréal is a major French-language public research university in Montreal, Canada, renowned for its contributions to fields such as artificial intelligence and deep learning.
  • D. Université du Québec à Montréal
    Université du Québec à Montréal is a major French-language public university known for its urban campus, research activity, and strong presence in the cultural and academic life of Montreal.
  • E. Montreal Chest Institute
    The Montreal Chest Institute is a specialized respiratory and thoracic care and research center that forms part of the McGill University Health Centre in Montreal, Canada.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ad8b1c4de88190a83b7cefaa1f2842 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9a4ba6988190be29c00cd4266941 completed March 8, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69b12e5f612c8190824deb0813a9f981 completed March 11, 2026, 8:57 a.m.
Created at: March 8, 2026, 3 p.m.