Triple

T2058855
Position Surface form Disambiguated ID Type / Status
Subject Shriners Hospitals for Children – Canada E45739 entity
Predicate teachingPartner P20446 FINISHED
Object Faculty of Medicine and Health Sciences, McGill University E45594 NE FINISHED

How this triple was built (3 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 and Health Sciences, McGill University | Statement: [Shriners Hospitals for Children – Canada, teachingPartner, Faculty of Medicine and Health Sciences, McGill University]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Faculty of Medicine and Health Sciences, McGill University
Context triple: [Shriners Hospitals for Children – Canada, teachingPartner, Faculty of Medicine and Health Sciences, McGill University]
  • A. Faculty of Medicine and Health Sciences of McGill University chosen
    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.
  • B. 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.
  • C. Research Institute of the McGill University Health Centre
    The Research Institute of the McGill University Health Centre is a major biomedical and health research organization affiliated with McGill University that conducts translational and clinical research to improve patient care and population health.
  • D. Michael G. DeGroote School of Medicine
    The Michael G. DeGroote School of Medicine is the medical school of McMaster University in Hamilton, Ontario, known for pioneering problem-based learning and innovative medical education.
  • E. Schulich School of Medicine & Dentistry
    The Schulich School of Medicine & Dentistry is a professional faculty of Western University in Canada, known for its programs in medical and dental education and its associated research and clinical training.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: teachingPartner
Context triple: [Shriners Hospitals for Children – Canada, teachingPartner, Faculty of Medicine and Health Sciences, McGill University]
  • A. trainingPartner chosen
    Indicates that two entities participate together in training activities, typically collaborating or assisting each other in practice or skill development.
  • B. mentorOrPartner
    Indicates a relationship in which one entity either provides guidance and support to another as a mentor or collaborates with them on relatively equal footing as a partner.
  • C. partnerSchool
    Indicates a formal collaborative relationship between two educational institutions, typically involving shared programs, resources, or exchange activities.
  • D. hasTeaching
    Indicates that one entity provides instruction or educational guidance to another entity.
  • E. typeOfTeaching
    Indicates the specific method or style of teaching used in an instructional context.
  • F. None of above.

Provenance (4 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_69a8891a19508190a12ef1e192308dcb completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abb9af42988190a4e977154dd10312 completed March 7, 2026, 5:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae5184b7d8819095693cea73e54ff1 completed March 9, 2026, 4:50 a.m.
PD Predicate disambiguation batch_69abb7ad5a7c8190b92575d6053b3fb7 completed March 7, 2026, 5:29 a.m.
Created at: March 4, 2026, 7:40 p.m.