Bahen Centre for Information Technology
E19688
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.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Bahen Centre for Information Technology canonical | 4 |
How this entity was disambiguated
This entity first appeared as the object of triple T161796 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bahen Centre for Information Technology Context triple: [St. George campus, hasNotableBuilding, Bahen Centre for Information Technology]
-
A.
Schwarzman College of Computing
Schwarzman College of Computing is MIT’s interdisciplinary hub for computer science, artificial intelligence, and computing-related research and education across the institute.
-
B.
University City Science Center
The University City Science Center is a prominent urban research and technology innovation hub in Philadelphia that supports startups, academic partnerships, and commercialization of scientific advances.
-
C.
McGill University Library
McGill University Library is the academic library system of McGill University in Montreal, providing extensive research collections, study spaces, and information services to students, faculty, and researchers.
-
D.
MIT Stata Center
MIT Stata Center is a strikingly unconventional academic complex at MIT designed by architect Frank Gehry, known for its deconstructivist architecture and housing research labs, classrooms, and offices.
-
E.
Weizmann Institute of Science
The Weizmann Institute of Science is a leading multidisciplinary research university in Rehovot, Israel, renowned for its pioneering work in natural and exact sciences.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bahen Centre for Information Technology Target entity description: 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.
-
A.
Schwarzman College of Computing
Schwarzman College of Computing is MIT’s interdisciplinary hub for computer science, artificial intelligence, and computing-related research and education across the institute.
-
B.
University City Science Center
The University City Science Center is a prominent urban research and technology innovation hub in Philadelphia that supports startups, academic partnerships, and commercialization of scientific advances.
-
C.
McGill University Library
McGill University Library is the academic library system of McGill University in Montreal, providing extensive research collections, study spaces, and information services to students, faculty, and researchers.
-
D.
MIT Stata Center
MIT Stata Center is a strikingly unconventional academic complex at MIT designed by architect Frank Gehry, known for its deconstructivist architecture and housing research labs, classrooms, and offices.
-
E.
Weizmann Institute of Science
The Weizmann Institute of Science is a leading multidisciplinary research university in Rehovot, Israel, renowned for its pioneering work in natural and exact sciences.
- F. None of above. chosen
Statements (46)
| Predicate | Object |
|---|---|
| instanceOf |
academic building
ⓘ
research facility ⓘ university building ⓘ |
| architect | Diamond and Schmitt Architects ⓘ |
| buildingType |
educational building
ⓘ
research building ⓘ |
| campus | St. George campus ⓘ |
| connectsWith |
Sandford Fleming Building
ⓘ
Wallberg Building ⓘ |
| coordinateLocation | 43.6597°N 79.3973°W ⓘ |
| country | Canada ⓘ |
| floorCount | 8 ⓘ |
| hasFacility |
accessible entrances
ⓘ
atrium ⓘ auditorium ⓘ bicycle parking ⓘ elevators ⓘ underground parking access ⓘ |
| hasPart |
classrooms
ⓘ
computer labs ⓘ faculty offices ⓘ lecture halls ⓘ research laboratories ⓘ student study spaces ⓘ |
| housesAcademicUnit |
University of Toronto Department of Computer Science
ⓘ
surface form:
Department of Computer Science, University of Toronto
Department of Electrical and Computer Engineering ⓘ
surface form:
Department of Electrical and Computer Engineering, University of Toronto
information technology programs ⓘ |
| inception | 2002 ⓘ |
| locatedIn |
Ontario
ⓘ
Toronto ⓘ University of Toronto ⓘ |
| material |
concrete
ⓘ
glass ⓘ steel ⓘ |
| namedAfter | John Bahen ⓘ |
| openingDate | 2002 ⓘ |
| operator | University of Toronto ⓘ |
| owner | University of Toronto ⓘ |
| partOf |
Faculty of Applied Science and Engineering facilities, University of Toronto
ⓘ
Faculty of Arts and Science, University of Toronto ⓘ
surface form:
Faculty of Arts and Science facilities, University of Toronto
|
| primaryUse |
computer science education
ⓘ
engineering education ⓘ information technology research ⓘ |
| publicTransitAccess |
St. George subway station
ⓘ
surface form:
St. George station
|
| streetAddress | 40 St. George Street ⓘ |
| website | https://www.cs.toronto.edu/department/bahen.html ⓘ |
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
Instruction
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Input
Subject: Bahen Centre for Information Technology Description of subject: 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.
Referenced by (4)
Full triples — surface form annotated when it differs from this entity's canonical label.