Waco, Texas
E97168
Waco, Texas is a central Texas city known for being home to Baylor University and its prominent collegiate athletic programs.
All labels observed (13)
| Label | Occurrences |
|---|---|
| Waco, Texas canonical | 86 |
| Waco | 20 |
| Waco metropolitan area | 18 |
| Waco, Texas, United States | 13 |
| City of Waco | 1 |
| Waco Center | 1 |
| Waco MSA | 1 |
| Waco Metropolitan Statistical Area | 1 |
| Waco metropolitan statistical area | 1 |
| Waco, Texas (fictionalized setting) | 1 |
| Waco, Texas area | 1 |
| Waco, Texas metropolitan area | 1 |
| Waco, Texas urban area | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T461452 — 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: Waco, Texas Context triple: [Baylor Lady Bears basketball, location, Waco, Texas]
-
A.
Uvalde, Texas
Uvalde, Texas is a small city in South Texas known historically as a ranching and agricultural center and as the longtime home of U.S. Vice President John Nance Garner.
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B.
Fort Worth, Texas
Fort Worth, Texas is a major city in North Texas known for its historic Western heritage, cultural districts, and role as a key economic and transportation hub in the Dallas–Fort Worth metroplex.
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C.
Richmond, Texas
Richmond, Texas is a historic city in Fort Bend County, part of the Greater Houston metropolitan area, known for its 19th-century roots and role in early Texas history.
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D.
Mission, Texas
Mission, Texas is a city in the Rio Grande Valley in southern Texas, known for its agricultural industry and proximity to the U.S.–Mexico border.
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E.
Sherman, Texas
Sherman, Texas is a small North Texas city and county seat of Grayson County, known for its proximity to the Red River and its role as a regional hub in the Sherman–Denison metropolitan area.
- 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: Waco, Texas Target entity description: Waco, Texas is a central Texas city known for being home to Baylor University and its prominent collegiate athletic programs.
-
A.
Uvalde, Texas
Uvalde, Texas is a small city in South Texas known historically as a ranching and agricultural center and as the longtime home of U.S. Vice President John Nance Garner.
-
B.
Fort Worth, Texas
Fort Worth, Texas is a major city in North Texas known for its historic Western heritage, cultural districts, and role as a key economic and transportation hub in the Dallas–Fort Worth metroplex.
-
C.
Richmond, Texas
Richmond, Texas is a historic city in Fort Bend County, part of the Greater Houston metropolitan area, known for its 19th-century roots and role in early Texas history.
-
D.
Mission, Texas
Mission, Texas is a city in the Rio Grande Valley in southern Texas, known for its agricultural industry and proximity to the U.S.–Mexico border.
-
E.
Sherman, Texas
Sherman, Texas is a small North Texas city and county seat of Grayson County, known for its proximity to the Red River and its role as a regional hub in the Sherman–Denison metropolitan area.
- F. None of above. chosen
Statements (47)
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: Waco, Texas Description of subject: Waco, Texas is a central Texas city known for being home to Baylor University and its prominent collegiate athletic programs.
Referenced by (146)
Full triples — surface form annotated when it differs from this entity's canonical label.
this entity surface form:
Waco
this entity surface form:
Waco, Texas, United States
this entity surface form:
Waco, Texas, United States
this entity surface form:
Waco
subject surface form:
Baylor Bears men's basketball
subject surface form:
Baylor Bears men's basketball
this entity surface form:
Waco
subject surface form:
Baylor Bears men's basketball
this entity surface form:
Waco
subject surface form:
Temple, Texas
this entity surface form:
Waco, Texas, United States
this entity surface form:
Waco, Texas, United States
this entity surface form:
Waco metropolitan area
this entity surface form:
Waco, Texas area
this entity surface form:
Waco, Texas, United States
subject surface form:
Ken Starr
this entity surface form:
Waco, Texas (fictionalized setting)
this entity surface form:
Waco metropolitan area
this entity surface form:
Waco Metropolitan Statistical Area
this entity surface form:
Waco
this entity surface form:
Waco MSA
this entity surface form:
Waco, Texas, United States
this entity surface form:
Waco
this entity surface form:
Waco
this entity surface form:
Waco metropolitan area