Cornell Big Red women’s cross country program
E580851
The Cornell Big Red women’s cross country program is the NCAA Division I women’s distance running team representing Cornell University in intercollegiate cross country competition.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Cornell Big Red women’s cross country program canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T6124851 — 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 Big Red women’s cross country program Context triple: [Cornell University Department of Athletics and Physical Education, manages, Cornell Big Red women’s cross country program]
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A.
Cornell Big Red men’s cross country
Cornell Big Red men’s cross country is the NCAA Division I collegiate distance running team representing Cornell University in intercollegiate cross country competition.
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B.
Cornell Big Red track and field
Cornell Big Red track and field is the collegiate track and field program of Cornell University, competing in NCAA Division I and the Ivy League.
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C.
Cornell Big Red women’s soccer program
The Cornell Big Red women’s soccer program is the NCAA Division I varsity women’s soccer team representing Cornell University in intercollegiate competition.
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D.
Cornell Big Red women’s lacrosse
Cornell Big Red women’s lacrosse is the NCAA Division I women’s lacrosse program representing Cornell University, competing in the Ivy League and known for its strong academic-athletic tradition.
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E.
Cornell Big Red women’s tennis program
The Cornell Big Red women’s tennis program is the varsity collegiate tennis team representing Cornell University in NCAA Division I competition.
- 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 Big Red women’s cross country program Target entity description: The Cornell Big Red women’s cross country program is the NCAA Division I women’s distance running team representing Cornell University in intercollegiate cross country competition.
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A.
Cornell Big Red men’s cross country
Cornell Big Red men’s cross country is the NCAA Division I collegiate distance running team representing Cornell University in intercollegiate cross country competition.
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B.
Cornell Big Red track and field
Cornell Big Red track and field is the collegiate track and field program of Cornell University, competing in NCAA Division I and the Ivy League.
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C.
Cornell Big Red women’s soccer program
The Cornell Big Red women’s soccer program is the NCAA Division I varsity women’s soccer team representing Cornell University in intercollegiate competition.
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D.
Cornell Big Red women’s lacrosse
Cornell Big Red women’s lacrosse is the NCAA Division I women’s lacrosse program representing Cornell University, competing in the Ivy League and known for its strong academic-athletic tradition.
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E.
Cornell Big Red women’s tennis program
The Cornell Big Red women’s tennis program is the varsity collegiate tennis team representing Cornell University in NCAA Division I competition.
- F. None of above. chosen
Statements (43)
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 Big Red women’s cross country program Description of subject: The Cornell Big Red women’s cross country program is the NCAA Division I women’s distance running team representing Cornell University in intercollegiate cross country competition.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.
Cornell University Department of Athletics and Physical Education
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manages
→
Cornell Big Red women’s cross country program
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