Faculty of Engineering
E87893
The Faculty of Engineering at the University of Sheffield is a major academic division encompassing multiple engineering departments that provide research-led education and innovation across a wide range of engineering disciplines.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Faculty of Engineering canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T710494 — 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 Engineering Context triple: [University of Sheffield, hasFaculty, Faculty of Engineering]
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A.
Faculty of Engineering
The Faculty of Engineering at Cairo University is a leading Egyptian engineering school known for its comprehensive undergraduate and postgraduate programs, research output, and role in training engineers across diverse technical fields.
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B.
Faculty of Engineering
The Faculty of Engineering at the University of La Serena is an academic division dedicated to engineering education and research in northern Chile.
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C.
Faculty of Engineering
The Faculty of Engineering at the University of Tokyo is a leading academic division renowned for its cutting-edge research and education in engineering and technology in Japan and worldwide.
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D.
Faculty of Engineering
The Faculty of Engineering at Kyoto University is a major academic division renowned for its research and education in engineering and technology disciplines.
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E.
Faculty of Engineering
The Faculty of Engineering at the University of the Andes in Bogotá is a leading Colombian engineering school known for its strong academic programs, research output, and contribution to technological innovation in the region.
- 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 Engineering Target entity description: The Faculty of Engineering at the University of Sheffield is a major academic division encompassing multiple engineering departments that provide research-led education and innovation across a wide range of engineering disciplines.
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A.
Faculty of Engineering
The Faculty of Engineering at Kyushu University is a major academic division offering engineering education and conducting research across a wide range of technological and scientific fields.
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B.
Faculty of Engineering
The Faculty of Engineering at McGill University is a leading academic division offering undergraduate and graduate programs in engineering and related applied sciences, known for its research, innovation, and professional training.
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C.
Faculty of Engineering
The Faculty of Engineering at Kyoto University is a major academic division renowned for its research and education in engineering and technology disciplines.
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D.
Faculty of Engineering
The Faculty of Engineering is an academic division of Østfold University College that offers engineering education and conducts research in various technical and applied science disciplines.
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E.
Faculty of Engineering
The Faculty of Engineering at Vrije Universiteit Brussel is an academic division that offers engineering education and conducts research across various technological and applied science disciplines.
- F. None of above. chosen
Statements (45)
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 Engineering Description of subject: The Faculty of Engineering at the University of Sheffield is a major academic division encompassing multiple engineering departments that provide research-led education and innovation across a wide range of engineering disciplines.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.