School of Mathematics and Statistics, University of Sheffield
E418734
The School of Mathematics and Statistics at the University of Sheffield is an academic department offering teaching and research in pure and applied mathematics, statistics, and related quantitative disciplines.
All labels observed (1)
| Label | Occurrences |
|---|---|
| School of Mathematics and Statistics, University of Sheffield canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T4176285 — 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: School of Mathematics and Statistics, University of Sheffield Context triple: [Faculty of Science, University of Sheffield, hasPart, School of Mathematics and Statistics, University of Sheffield]
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A.
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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B.
School of Mathematics and Statistics
The School of Mathematics and Statistics is an academic unit at the University of Hyderabad dedicated to advanced teaching and research in mathematical and statistical sciences.
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C.
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.
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D.
School of Mathematics and Statistics
The School of Mathematics and Statistics is an academic department at the University of St Andrews specializing in teaching and research in pure and applied mathematics and statistical science.
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E.
School of Mathematics
The School of Mathematics is a renowned research division of the Institute for Advanced Study, known for hosting leading mathematicians and fostering fundamental advances in pure mathematics.
- 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: School of Mathematics and Statistics, University of Sheffield Target entity description: The School of Mathematics and Statistics at the University of Sheffield is an academic department offering teaching and research in pure and applied mathematics, statistics, and related quantitative disciplines.
-
A.
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.
-
B.
School of Mathematics and Statistics
The School of Mathematics and Statistics is an academic unit at the University of Hyderabad dedicated to advanced teaching and research in mathematical and statistical sciences.
-
C.
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.
-
D.
School of Mathematics and Statistics
The School of Mathematics and Statistics is an academic department at the University of St Andrews specializing in teaching and research in pure and applied mathematics and statistical science.
-
E.
School of Mathematics
The School of Mathematics is a renowned research division of the Institute for Advanced Study, known for hosting leading mathematicians and fostering fundamental advances in pure mathematics.
- F. None of above. chosen
Statements (48)
| Predicate | Object |
|---|---|
| instanceOf |
academic department
ⓘ
university department ⓘ |
| academicDiscipline |
applied mathematics
ⓘ
data science ⓘ mathematical modelling ⓘ probability ⓘ pure mathematics ⓘ statistics ⓘ |
| campus | Western Bank campus ⓘ |
| collaboratesWith |
external academic institutions
ⓘ
industry partners ⓘ other departments at the University of Sheffield ⓘ |
| country | United Kingdom ⓘ |
| employs |
academic staff
ⓘ
professional services staff ⓘ research staff ⓘ |
| focus |
quantitative skills development
ⓘ
teaching in mathematics ⓘ teaching in statistics ⓘ |
| grantsDegree |
Bachelor of Science in Mathematics
ⓘ
Bachelor of Science in Mathematics and Statistics ⓘ Doctor of Philosophy in Mathematics ⓘ Doctor of Philosophy in Statistics ⓘ Master of Science in Mathematics ⓘ Master of Science in Statistics ⓘ |
| hasStudentBody |
postgraduate students
ⓘ
undergraduate students ⓘ |
| languageOfInstruction | English ⓘ |
| locatedIn |
England
ⓘ
Sheffield ⓘ |
| offers |
postgraduate research programmes
ⓘ
postgraduate taught programmes ⓘ undergraduate programmes ⓘ |
| parentOrganization | Faculty of Science, University of Sheffield ⓘ |
| partOf | University of Sheffield ⓘ |
| researchActivity |
research in Bayesian statistics
ⓘ
research in applied mathematics ⓘ research in financial mathematics ⓘ research in mathematical biology ⓘ research in mathematical physics ⓘ research in probability theory ⓘ research in pure mathematics ⓘ research in statistics ⓘ research in stochastic processes ⓘ research in uncertainty quantification ⓘ |
| uses |
University of Sheffield computing facilities
ⓘ
University of Sheffield libraries ⓘ
linked to:
University of Sheffield library system
|
| website | https://www.sheffield.ac.uk/maths ⓘ |
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: School of Mathematics and Statistics, University of Sheffield Description of subject: The School of Mathematics and Statistics at the University of Sheffield is an academic department offering teaching and research in pure and applied mathematics, statistics, and related quantitative disciplines.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.
Faculty of Science, University of Sheffield
→
hasPart
→
School of Mathematics and Statistics, University of Sheffield
ⓘ
subject linked to:
Faculty of Science