Department of Computer Science, University of Sheffield
E412752
The Department of Computer Science at the University of Sheffield is a leading UK academic department known for its research and teaching in areas such as artificial intelligence, machine learning, software engineering, and computational biology.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Department of Computer Science, University of Sheffield canonical | 2 |
How this entity was disambiguated
This entity first appeared as the object of triple T4099068 — 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 Computer Science, University of Sheffield Context triple: [Faculty of Engineering, University of Sheffield, hasPart, Department of Computer Science, University of Sheffield]
-
A.
School of Computer Science
The School of Computer Science at Fudan University is a leading academic unit in China dedicated to education and research in computer science and related fields.
-
B.
School of Computer Science
The School of Computer Science is an academic unit of Central China Normal University specializing in education and research in computer science and related technologies.
-
C.
School of Computer Science
The School of Computer Science is McGill University’s primary academic unit for teaching and research in computer science, operating within its Faculty of Engineering.
-
D.
School of Computer Science
The School of Computer Science at the University of St Andrews is an academic department specializing in teaching and research across areas such as algorithms, artificial intelligence, software engineering, and human-computer interaction.
-
E.
School of Computer Science
The School of Computer Science at Wuhan University is an academic unit specializing in computer science education and research within the university.
- 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 Computer Science, University of Sheffield Target entity description: The Department of Computer Science at the University of Sheffield is a leading UK academic department known for its research and teaching in areas such as artificial intelligence, machine learning, software engineering, and computational biology.
-
A.
School of Computer Science
The School of Computer Science at Fudan University is a leading academic unit in China dedicated to education and research in computer science and related fields.
-
B.
School of Computer Science
The School of Computer Science at Wuhan University is an academic unit specializing in computer science education and research within the university.
-
C.
School of Computer Science
The School of Computer Science is McGill University’s primary academic unit for teaching and research in computer science, operating within its Faculty of Engineering.
-
D.
School of Computer Science
The School of Computer Science is an academic unit of Central China Normal University specializing in education and research in computer science and related technologies.
-
E.
School of Computer Science
The School of Computer Science at the University of St Andrews is an academic department specializing in teaching and research across areas such as algorithms, artificial intelligence, software engineering, and human-computer interaction.
- F. None of above. chosen
Statements (47)
| Predicate | Object |
|---|---|
| instanceOf |
academic department
ⓘ
computer science department ⓘ |
| abbreviation | DCS Sheffield ⓘ |
| affiliatedWith | Faculty of Engineering, University of Sheffield ⓘ |
| campus |
University of Sheffield main campus
ⓘ
linked to:
University of Sheffield
|
| city | Sheffield ⓘ |
| country | United Kingdom ⓘ |
| employs |
academic staff
ⓘ
research staff ⓘ |
| fieldOfStudy |
artificial intelligence
ⓘ
computational biology ⓘ computer science ⓘ machine learning ⓘ software engineering ⓘ |
| hasFocus |
industry collaboration
ⓘ
interdisciplinary research ⓘ research-led teaching ⓘ |
| hasParentOrganization | University of Sheffield ⓘ |
| hasStudentBody |
doctoral students
ⓘ
postgraduate students ⓘ undergraduate students ⓘ |
| knownFor |
artificial intelligence research
ⓘ
computational biology research ⓘ computer science education ⓘ computer science research ⓘ machine learning research ⓘ software engineering research ⓘ |
| languageOfInstruction | English ⓘ |
| locatedIn |
England
ⓘ
South Yorkshire ⓘ |
| offersCourse |
BSc Computer Science
ⓘ
MSc in Artificial Intelligence ⓘ MSc in Data Science ⓘ MSc in Software Engineering ⓘ |
| offersProgram |
PhD programmes in computer science
ⓘ
postgraduate computer science degrees ⓘ undergraduate computer science degrees ⓘ |
| partOf | University of Sheffield ⓘ |
| region | Yorkshire and the Humber ⓘ |
| researchActivity |
participation in international research projects
ⓘ
participation in national research projects ⓘ |
| researchArea |
computer vision
ⓘ
human-computer interaction ⓘ natural language processing ⓘ theoretical computer science ⓘ |
| sector | higher education ⓘ |
| website | https://www.sheffield.ac.uk/dcs ⓘ |
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 Computer Science, University of Sheffield Description of subject: The Department of Computer Science at the University of Sheffield is a leading UK academic department known for its research and teaching in areas such as artificial intelligence, machine learning, software engineering, and computational biology.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.
Faculty of Engineering, University of Sheffield
→
hasPart
→
Department of Computer Science, University of Sheffield
ⓘ
subject linked to:
Faculty of Engineering
Faculty of Science, University of Sheffield
→
hasPart
→
Department of Computer Science, University of Sheffield
ⓘ
subject linked to:
Faculty of Science