University of Illinois at Urbana–Champaign
E2924
flagship university
land-grant university
public research university
sea-grant university
space-grant university
The University of Illinois at Urbana–Champaign is a major American public research university known for its strong engineering, computer science, and information science programs.
All labels observed (37)
How this entity was disambiguated
This entity first appeared as the object of triple T546 — 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: University of Illinois at Urbana–Champaign Context triple: [Ted Nelson, educatedAt, University of Illinois at Urbana–Champaign]
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A.
University of California, Berkeley
The University of California, Berkeley is a leading public research university renowned for its academic excellence, groundbreaking innovation, and historic role in social and political movements.
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B.
Rice University
Rice University is a private research university in Houston, Texas, known for its strong programs in science and engineering, small student body, and high level of research activity.
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C.
Massachusetts Institute of Technology
The Massachusetts Institute of Technology is a world-renowned research university in Cambridge, Massachusetts, known for its pioneering work in science, engineering, and technology.
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D.
Oregon State University
Oregon State University is a public research university in Corvallis, Oregon, known for its strong programs in engineering, forestry, and agricultural sciences.
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E.
University of Pennsylvania
The University of Pennsylvania is a prestigious Ivy League research university in Philadelphia known for its strong programs across disciplines, including engineering, business, law, and medicine.
- 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: University of Illinois at Urbana–Champaign Target entity description: The University of Illinois at Urbana–Champaign is a major American public research university known for its strong engineering, computer science, and information science programs.
-
A.
University of California, Berkeley
The University of California, Berkeley is a leading public research university renowned for its academic excellence, groundbreaking innovation, and historic role in social and political movements.
-
B.
Rice University
Rice University is a private research university in Houston, Texas, known for its strong programs in science and engineering, small student body, and high level of research activity.
-
C.
Massachusetts Institute of Technology
The Massachusetts Institute of Technology is a world-renowned research university in Cambridge, Massachusetts, known for its pioneering work in science, engineering, and technology.
-
D.
Oregon State University
Oregon State University is a public research university in Corvallis, Oregon, known for its strong programs in engineering, forestry, and agricultural sciences.
-
E.
University of Pennsylvania
The University of Pennsylvania is a prestigious Ivy League research university in Philadelphia known for its strong programs across disciplines, including engineering, business, law, and medicine.
- F. None of above. chosen
Statements (63)
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: University of Illinois at Urbana–Champaign Description of subject: The University of Illinois at Urbana–Champaign is a major American public research university known for its strong engineering, computer science, and information science programs.
Referenced by (514)
Full triples — surface form annotated when it differs from this entity's canonical label.
subject surface form:
Studio Theatre (Krannert Center)
this entity surface form:
University of Illinois at Urbana-Champaign
subject surface form:
Studio Theatre (Krannert Center)
this entity surface form:
University of Illinois at Urbana-Champaign
this entity surface form:
University of Illinois at Urbana-Champaign
this entity surface form:
University of Illinois Urbana-Champaign
subject surface form:
Lawrence Joseph Ellison
this entity surface form:
University of Illinois School of Architecture
subject surface form:
John Robert Schrieffer
subject surface form:
Brendan Eich
subject surface form:
John Robert Schrieffer
this entity surface form:
University of Illinois at Urbana-Champaign
this entity surface form:
University of Illinois Urbana-Champaign
subject surface form:
Jawed Karim
this entity surface form:
University of Illinois at Urbana-Champaign
this entity surface form:
Urbana-Champaign
this entity surface form:
University of Illinois at Urbana-Champaign
this entity surface form:
University of Illinois at Urbana-Champaign
College of Commerce and Business Administration
→
partOf
→
University of Illinois at Urbana–Champaign
ⓘ
this entity surface form:
University of Illinois at Urbana-Champaign