Medical Sciences Building
E190673
The Medical Sciences Building is a major academic and research facility at the University of Toronto that houses laboratories, classrooms, and offices for health and biomedical sciences.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Medical Sciences Building canonical | 3 |
Statements (32)
| Predicate | Object |
|---|---|
| instanceOf |
academic building
ⓘ
research facility ⓘ university building ⓘ |
| affiliation |
University of Toronto Faculty of Medicine
ⓘ
surface form:
Temerty Faculty of Medicine
University of Toronto ⓘ University of Toronto Faculty of Medicine ⓘ |
| campus | St. George campus ⓘ |
| city | Toronto ⓘ |
| contains |
classrooms
ⓘ
laboratories ⓘ offices ⓘ |
| country | Canada ⓘ |
| countryServed | Canada ⓘ |
| fieldOfStudy |
biomedical sciences
ⓘ
health sciences ⓘ medical education ⓘ |
| hasFunction |
administration
ⓘ
research ⓘ teaching ⓘ |
| languageOfEnvironment | English ⓘ |
| locatedIn |
Canada
ⓘ
Ontario ⓘ Toronto ⓘ University of Toronto ⓘ |
| partOf | University of Toronto campus infrastructure ⓘ |
| province | Ontario ⓘ |
| regionServed |
Greater Toronto Area
ⓘ
Ontario ⓘ |
| usedBy |
administrative staff
ⓘ
faculty ⓘ researchers ⓘ students ⓘ |
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: Medical Sciences Building Description of subject: The Medical Sciences Building is a major academic and research facility at the University of Toronto that houses laboratories, classrooms, and offices for health and biomedical sciences.
Referenced by (3)
Full triples — surface form annotated when it differs from this entity's canonical label.