Cornell Tech
E115435
Cornell Tech is a graduate-level campus of Cornell University in New York City focused on technology, business, law, and design, emphasizing innovation and industry collaboration.
All labels observed (3)
| Label | Occurrences |
|---|---|
| Cornell Tech canonical | 7 |
| Cornell Tech Library | 1 |
| Cornell Tech campus | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T733147 — 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: Cornell Tech Context triple: [Roosevelt Island, hasLandmark, Cornell Tech]
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A.
Columbia University School of Engineering
Columbia University School of Engineering is a prestigious engineering and applied science school in New York City known for pioneering research and influential alumni in fields such as electrical engineering and computer science.
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B.
Rensselaer Polytechnic Institute
Rensselaer Polytechnic Institute is a private research university in Troy, New York, renowned for its strong engineering, science, and technology programs.
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C.
Schwarzman College of Computing
Schwarzman College of Computing is MIT’s interdisciplinary hub for computer science, artificial intelligence, and computing-related research and education across the institute.
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D.
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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E.
Georgia Institute of Technology
Georgia Institute of Technology is a leading public research university renowned for its engineering, computing, and technology programs.
- 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: Cornell Tech Target entity description: Cornell Tech is a graduate-level campus of Cornell University in New York City focused on technology, business, law, and design, emphasizing innovation and industry collaboration.
-
A.
Columbia University School of Engineering
Columbia University School of Engineering is a prestigious engineering and applied science school in New York City known for pioneering research and influential alumni in fields such as electrical engineering and computer science.
-
B.
Rensselaer Polytechnic Institute
Rensselaer Polytechnic Institute is a private research university in Troy, New York, renowned for its strong engineering, science, and technology programs.
-
C.
Schwarzman College of Computing
Schwarzman College of Computing is MIT’s interdisciplinary hub for computer science, artificial intelligence, and computing-related research and education across the institute.
-
D.
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.
-
E.
Georgia Institute of Technology
Georgia Institute of Technology is a leading public research university renowned for its engineering, computing, and technology programs.
- 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: Cornell Tech Description of subject: Cornell Tech is a graduate-level campus of Cornell University in New York City focused on technology, business, law, and design, emphasizing innovation and industry collaboration.
Referenced by (9)
Full triples — surface form annotated when it differs from this entity's canonical label.
this entity surface form:
Cornell Tech campus
this entity surface form:
Cornell Tech Library