Department of Mathematics and Statistics (York University)
E350445
The Department of Mathematics and Statistics at York University is an academic unit offering undergraduate and graduate programs and conducting research in pure and applied mathematics, statistics, and related fields.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Department of Mathematics and Statistics (York University) canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T3346974 — 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: Department of Mathematics and Statistics (York University) Context triple: [Faculty of Science (York University), hasDepartment, Department of Mathematics and Statistics (York University)]
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A.
Department of Mathematics and Statistics (McGill University)
The Department of Mathematics and Statistics at McGill University is an academic unit renowned for research and teaching in pure and applied mathematics, statistics, and related fields.
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B.
University of Toronto Department of Mathematics
The University of Toronto Department of Mathematics is a leading academic department renowned for its research and teaching in pure and applied mathematics, with notable faculty such as complexity theorist Stephen Cook.
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C.
Department of Mathematics and Statistics, Lancaster University
The Department of Mathematics and Statistics at Lancaster University is a leading UK academic department known for its strong research and teaching in pure and applied mathematics, statistics, and related quantitative disciplines.
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D.
School of Mathematics and Statistics
The School of Mathematics and Statistics is an academic faculty of Wuhan University specializing in education and research in mathematical sciences and statistical theory and applications.
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E.
School of Mathematics and Statistics
The School of Mathematics and Statistics is an academic faculty at Central China Normal University specializing in education and research in mathematical sciences and statistical analysis.
- 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: Department of Mathematics and Statistics (York University) Target entity description: The Department of Mathematics and Statistics at York University is an academic unit offering undergraduate and graduate programs and conducting research in pure and applied mathematics, statistics, and related fields.
-
A.
Department of Mathematics and Statistics (McGill University)
The Department of Mathematics and Statistics at McGill University is an academic unit renowned for research and teaching in pure and applied mathematics, statistics, and related fields.
-
B.
University of Toronto Department of Mathematics
The University of Toronto Department of Mathematics is a leading academic department renowned for its research and teaching in pure and applied mathematics, with notable faculty such as complexity theorist Stephen Cook.
-
C.
Department of Mathematics and Statistics, Lancaster University
The Department of Mathematics and Statistics at Lancaster University is a leading UK academic department known for its strong research and teaching in pure and applied mathematics, statistics, and related quantitative disciplines.
-
D.
School of Mathematics and Statistics
The School of Mathematics and Statistics is an academic faculty of Wuhan University specializing in education and research in mathematical sciences and statistical theory and applications.
-
E.
School of Mathematics and Statistics
The School of Mathematics and Statistics is an academic faculty at Central China Normal University specializing in education and research in mathematical sciences and statistical analysis.
- F. None of above. chosen
Statements (45)
| Predicate | Object |
|---|---|
| instanceOf |
academic department
ⓘ
university department ⓘ |
| affiliation | York University ⓘ |
| campus | Keele Campus ⓘ |
| country | Canada ⓘ |
| employs |
mathematics faculty members
ⓘ
statistics faculty members ⓘ |
| fieldOfWork |
applied mathematics
ⓘ
data science ⓘ mathematics ⓘ probability theory ⓘ pure mathematics ⓘ statistics ⓘ |
| hasUnit |
graduate studies office
ⓘ
undergraduate studies office ⓘ |
| languageOfInstruction | English ⓘ |
| locatedIn |
Ontario
ⓘ
Toronto ⓘ |
| offersCourse |
abstract algebra courses
ⓘ
calculus courses ⓘ linear algebra courses ⓘ numerical analysis courses ⓘ probability courses ⓘ real analysis courses ⓘ regression analysis courses ⓘ statistical inference courses ⓘ time series analysis courses ⓘ |
| offersProgram |
MSc programs
ⓘ
PhD programs ⓘ graduate program in mathematics ⓘ graduate program in statistics ⓘ honours BSc programs ⓘ undergraduate program in mathematics ⓘ undergraduate program in statistics ⓘ |
| parentOrganization | Faculty of Science (York University) ⓘ |
| partOf | York University ⓘ |
| researchActivity |
research in applied mathematics
ⓘ
research in biostatistics ⓘ research in computational mathematics ⓘ research in financial mathematics ⓘ research in probability ⓘ research in pure mathematics ⓘ research in statistical theory ⓘ research in statistics ⓘ |
| sector | higher education ⓘ |
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: Department of Mathematics and Statistics (York University) Description of subject: The Department of Mathematics and Statistics at York University is an academic unit offering undergraduate and graduate programs and conducting research in pure and applied mathematics, statistics, and related fields.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.
subject surface form:
Faculty of Science (York University)