Triple
T912379
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bahen Centre for Information Technology |
E19688
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object |
Faculty of Applied Science and Engineering facilities, University of Toronto
The Faculty of Applied Science and Engineering facilities at the University of Toronto comprise a network of advanced teaching, research, and innovation spaces that support engineering education and cutting-edge technological development.
|
E109989
|
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 Applied Science and Engineering facilities, University of Toronto | Statement: [Bahen Centre for Information Technology, partOf, Faculty of Applied Science and Engineering facilities, University of Toronto]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Faculty of Applied Science and Engineering facilities, University of Toronto Context triple: [Bahen Centre for Information Technology, partOf, Faculty of Applied Science and Engineering facilities, University of Toronto]
-
A.
Faculty of Engineering and Applied Science
The Faculty of Engineering and Applied Science is Queen's University at Kingston's engineering school, offering undergraduate and graduate programs in engineering and related applied science disciplines.
-
B.
Faculty of Arts and Science, University of Toronto
The Faculty of Arts and Science at the University of Toronto is the university’s largest academic division, encompassing a wide range of undergraduate and graduate programs in the humanities, social sciences, and natural sciences across its affiliated colleges.
-
C.
Faculty of Applied Sciences
The Faculty of Applied Sciences is an academic division of the Royal Military Academy in Belgium that provides engineering and technical education and research tailored to military and defense applications.
-
D.
University of Waterloo
The University of Waterloo is a leading Canadian public research university renowned for its cooperative education programs and strengths in engineering, computer science, and innovation.
-
E.
Lassonde School of Engineering
Lassonde School of Engineering is an engineering and computer science school at York University in Toronto, Canada, known for its focus on experiential learning, entrepreneurship, and interdisciplinary innovation.
- 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 Applied Science and Engineering facilities, University of Toronto Triple: [Bahen Centre for Information Technology, partOf, Faculty of Applied Science and Engineering facilities, University of Toronto]
Generated description
The Faculty of Applied Science and Engineering facilities at the University of Toronto comprise a network of advanced teaching, research, and innovation spaces that support engineering education and cutting-edge technological development.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Faculty of Applied Science and Engineering facilities, University of Toronto Target entity description: The Faculty of Applied Science and Engineering facilities at the University of Toronto comprise a network of advanced teaching, research, and innovation spaces that support engineering education and cutting-edge technological development.
-
A.
Faculty of Engineering and Applied Science
The Faculty of Engineering and Applied Science is Queen's University at Kingston's engineering school, offering undergraduate and graduate programs in engineering and related applied science disciplines.
-
B.
Faculty of Arts and Science, University of Toronto
The Faculty of Arts and Science at the University of Toronto is the university’s largest academic division, encompassing a wide range of undergraduate and graduate programs in the humanities, social sciences, and natural sciences across its affiliated colleges.
-
C.
Faculty of Applied Sciences
The Faculty of Applied Sciences is an academic division of the Royal Military Academy in Belgium that provides engineering and technical education and research tailored to military and defense applications.
-
D.
University of Waterloo
The University of Waterloo is a leading Canadian public research university renowned for its cooperative education programs and strengths in engineering, computer science, and innovation.
-
E.
Lassonde School of Engineering
Lassonde School of Engineering is an engineering and computer science school at York University in Toronto, Canada, known for its focus on experiential learning, entrepreneurship, and interdisciplinary innovation.
- 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_69a4939f91a08190ba68c2c81eab90fe |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b2df9ba88190824437026796586f |
completed | March 1, 2026, 9:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7ee054c808190888594a6421c4b60 |
completed | March 4, 2026, 8:32 a.m. |
| NEDg | Description generation | batch_69a7ef1b38188190a580c0545e554958 |
completed | March 4, 2026, 8:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a7ef79c1448190a227829e673cdff0 |
completed | March 4, 2026, 8:38 a.m. |
Created at: March 1, 2026, 7:39 p.m.