Triple
T9553877
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | McGill University Health Sciences sector |
E230491
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Steinberg Centre for Simulation and Interactive Learning, McGill University
The Steinberg Centre for Simulation and Interactive Learning at McGill University is a state-of-the-art facility that uses high-fidelity simulation technologies to train health professionals and improve patient safety.
|
E807369
|
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: Steinberg Centre for Simulation and Interactive Learning, McGill University | Statement: [McGill University Health Sciences sector, hasPart, Steinberg Centre for Simulation and Interactive Learning, McGill University]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Steinberg Centre for Simulation and Interactive Learning, McGill University Context triple: [McGill University Health Sciences sector, hasPart, Steinberg Centre for Simulation and Interactive Learning, McGill University]
-
A.
Bahen Centre for Information Technology
The Bahen Centre for Information Technology is a major academic and research facility at the University of Toronto that houses computer science, engineering, and information technology programs.
-
B.
School of Simulation and Visualisation
The School of Simulation and Visualisation is a specialist department of the Glasgow School of Art focused on advanced digital technologies such as 3D visualisation, virtual reality, and simulation for creative and research applications.
-
C.
Faculty of Engineering, McGill University
The Faculty of Engineering at McGill University is a leading Canadian engineering school offering a wide range of undergraduate and graduate programs in engineering and related disciplines, known for its strong research output and international reputation.
-
D.
McGill University School of Computer Science
McGill University School of Computer Science is a leading academic department at McGill University in Montreal, Canada, known for its research and education in computer science and for pioneering early internet search technologies.
-
E.
Peter Gilgan Centre for Research and Learning
The Peter Gilgan Centre for Research and Learning is a major pediatric research facility in Toronto, Canada, serving as a state-of-the-art hub for child health innovation and scientific collaboration.
- 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: Steinberg Centre for Simulation and Interactive Learning, McGill University Triple: [McGill University Health Sciences sector, hasPart, Steinberg Centre for Simulation and Interactive Learning, McGill University]
Generated description
The Steinberg Centre for Simulation and Interactive Learning at McGill University is a state-of-the-art facility that uses high-fidelity simulation technologies to train health professionals and improve patient safety.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Steinberg Centre for Simulation and Interactive Learning, McGill University Target entity description: The Steinberg Centre for Simulation and Interactive Learning at McGill University is a state-of-the-art facility that uses high-fidelity simulation technologies to train health professionals and improve patient safety.
-
A.
Bahen Centre for Information Technology
The Bahen Centre for Information Technology is a major academic and research facility at the University of Toronto that houses computer science, engineering, and information technology programs.
-
B.
School of Simulation and Visualisation
The School of Simulation and Visualisation is a specialist department of the Glasgow School of Art focused on advanced digital technologies such as 3D visualisation, virtual reality, and simulation for creative and research applications.
-
C.
Faculty of Engineering, McGill University
The Faculty of Engineering at McGill University is a leading Canadian engineering school offering a wide range of undergraduate and graduate programs in engineering and related disciplines, known for its strong research output and international reputation.
-
D.
McGill University School of Computer Science
McGill University School of Computer Science is a leading academic department at McGill University in Montreal, Canada, known for its research and education in computer science and for pioneering early internet search technologies.
-
E.
Peter Gilgan Centre for Research and Learning
The Peter Gilgan Centre for Research and Learning is a major pediatric research facility in Toronto, Canada, serving as a state-of-the-art hub for child health innovation and scientific collaboration.
- 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.