Faculty of Science and Engineering
E164582
The Faculty of Science and Engineering is an academic division of Anglia Ruskin University that delivers teaching and research across scientific and engineering disciplines.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Faculty of Science and Engineering canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T1425338 — 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: Faculty of Science and Engineering Context triple: [Anglia Ruskin University, hasFaculty, Faculty of Science and Engineering]
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A.
Faculty of Science and Engineering
The Faculty of Science and Engineering is a major academic division of Sorbonne University that focuses on education and research in the natural sciences, mathematics, and engineering disciplines.
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B.
Faculty of Science and Engineering
The Faculty of Science and Engineering is a major academic division of the University of Liverpool that delivers teaching and research across a broad range of scientific and engineering disciplines.
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C.
Faculty of Science and Engineering
The Faculty of Science and Engineering is an academic division of the Pontifical Catholic University of Peru that offers undergraduate and graduate programs in scientific and engineering disciplines and conducts related research.
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D.
Faculty of Science and Engineering
The Faculty of Science and Engineering is a division of Kindai University that offers undergraduate and graduate programs in scientific and engineering disciplines, integrating research and practical education.
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E.
Faculty of Science and Engineering
The Faculty of Science and Engineering is an academic division of Manchester Metropolitan University that delivers teaching and research across a range of scientific and engineering disciplines.
- 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: Faculty of Science and Engineering Target entity description: The Faculty of Science and Engineering is an academic division of Anglia Ruskin University that delivers teaching and research across scientific and engineering disciplines.
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A.
Faculty of Science and Engineering
The Faculty of Science and Engineering is a major academic division of the University of Liverpool that delivers teaching and research across a broad range of scientific and engineering disciplines.
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B.
Faculty of Science and Engineering
The Faculty of Science and Engineering is an academic division of Manchester Metropolitan University that delivers teaching and research across a range of scientific and engineering disciplines.
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C.
Faculty of Science and Engineering
The Faculty of Science and Engineering is a major academic division of Sorbonne University that focuses on education and research in the natural sciences, mathematics, and engineering disciplines.
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D.
Faculty of Science and Engineering
The Faculty of Science and Engineering at the University of Groningen is a major academic division offering education and research across a broad range of natural sciences, engineering, and technology disciplines.
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E.
Faculty of Science and Engineering
The Faculty of Science and Engineering is a division of Kindai University that offers undergraduate and graduate programs in scientific and engineering disciplines, integrating research and practical education.
- F. None of above. chosen
Statements (49)
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: Faculty of Science and Engineering Description of subject: The Faculty of Science and Engineering is an academic division of Anglia Ruskin University that delivers teaching and research across scientific and engineering disciplines.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.