Triple

T9553860

Position	Surface form	Disambiguated ID	Type / Status
Subject	McGill University Health Sciences sector	`E230491`	entity
Predicate	hasPart	`P35`	FINISHED
Object	School of Population and Global Health, McGill University The School of Population and Global Health at McGill University is an academic unit dedicated to research and training in public health, epidemiology, and global health issues affecting populations worldwide.	`E807366`	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: School of Population and Global Health, McGill University | Statement: [McGill University Health Sciences sector, hasPart, School of Population and Global Health, McGill University]

NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07

Target entity: School of Population and Global Health, McGill University
Context triple: [McGill University Health Sciences sector, hasPart, School of Population and Global Health, McGill University]

A. School of Population and Public Health
The School of Population and Public Health is an academic unit specializing in research and education on public health, epidemiology, and population health sciences.
B. School of Epidemiology and Public Health
The School of Epidemiology and Public Health is an academic unit at the University of Ottawa dedicated to research and graduate education in epidemiology, biostatistics, and public health.
C. Dalla Lana School of Public Health, University of Toronto
The Dalla Lana School of Public Health at the University of Toronto is a leading Canadian institution for education and research in public health, epidemiology, and health policy.
D. Melbourne School of Population and Global Health
The Melbourne School of Population and Global Health is a leading academic institution at the University of Melbourne focused on research and education in public health, epidemiology, and global health policy.
E. Institute of Population and Public Health
The Institute of Population and Public Health is a Canadian research body that supports and advances research on population health, public health policy, and health equity across communities.
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: School of Population and Global Health, McGill University
Triple: [McGill University Health Sciences sector, hasPart, School of Population and Global Health, McGill University]

Generated description

The School of Population and Global Health at McGill University is an academic unit dedicated to research and training in public health, epidemiology, and global health issues affecting populations worldwide.

NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07

Target entity: School of Population and Global Health, McGill University
Target entity description: The School of Population and Global Health at McGill University is an academic unit dedicated to research and training in public health, epidemiology, and global health issues affecting populations worldwide.

A. School of Population and Public Health
The School of Population and Public Health is an academic unit specializing in research and education on public health, epidemiology, and population health sciences.
B. School of Epidemiology and Public Health
The School of Epidemiology and Public Health is an academic unit at the University of Ottawa dedicated to research and graduate education in epidemiology, biostatistics, and public health.
C. Dalla Lana School of Public Health, University of Toronto
The Dalla Lana School of Public Health at the University of Toronto is a leading Canadian institution for education and research in public health, epidemiology, and health policy.
D. Melbourne School of Population and Global Health
The Melbourne School of Population and Global Health is a leading academic institution at the University of Melbourne focused on research and education in public health, epidemiology, and global health policy.
E. Institute of Population and Public Health
The Institute of Population and Public Health is a Canadian research body that supports and advances research on population health, public health policy, and health equity across communities.
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_69ca847d3be8819099c9dad2a7e786f1`	completed	March 30, 2026, 2:11 p.m.
NER	Named-entity recognition	`batch_69cd99217de48190b528e14fd02ee987`	completed	April 1, 2026, 10:16 p.m.
NED1	Entity disambiguation (via context triple)	`batch_69d1528bd99881909e3f51472a99917f`	completed	April 4, 2026, 6:03 p.m.
NEDg	Description generation	`batch_69d156a5b65c8190a7c7616b6df6c181`	completed	April 4, 2026, 6:21 p.m.
NED2	Entity disambiguation (via description)	`batch_69d15740036c8190ada8ccf59c1436d9`	completed	April 4, 2026, 6:24 p.m.

Created at: March 30, 2026, 8:02 p.m.