Bladensburg, Maryland
E61872
Bladensburg, Maryland is a small historic town in the Washington, D.C. metropolitan area known for its role in the War of 1812 and its location along the Anacostia River.
All labels observed (7)
| Label | Occurrences |
|---|---|
| Bladensburg, Maryland canonical | 17 |
| Bladensburg | 6 |
| Town of Bladensburg | 4 |
| Bladensburg Dueling Grounds vicinity | 1 |
| Bladensburg town council | 1 |
| Town of Bladensburg government | 1 |
| Town of Bladensburg, Maryland | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T253817 — 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: Bladensburg, Maryland Context triple: [Prince George’s County, Maryland, contains, Bladensburg, Maryland]
-
A.
Bowie, Maryland
Bowie, Maryland is a suburban city in the Washington, D.C. metropolitan area known for its planned communities, parks, and family-oriented residential character.
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B.
Laurel, Maryland
Laurel, Maryland is a suburban city in central Maryland situated between Washington, D.C. and Baltimore, known for its historic Main Street and proximity to major federal agencies and research facilities.
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C.
Hyattsville, Maryland
Hyattsville, Maryland is a small city in the Washington, D.C. metropolitan area known for its historic districts, arts scene, and diverse residential neighborhoods.
-
D.
Frederick, Maryland
Frederick, Maryland is a historic city in western Maryland known for its vibrant downtown, Civil War heritage, and role as a regional hub for government and biomedical research.
-
E.
Largo, Maryland
Largo, Maryland is an unincorporated suburban community in the Washington, D.C. metropolitan area known for its residential neighborhoods, shopping centers, and proximity to major transit routes and attractions like FedExField.
- 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: Bladensburg, Maryland Target entity description: Bladensburg, Maryland is a small historic town in the Washington, D.C. metropolitan area known for its role in the War of 1812 and its location along the Anacostia River.
-
A.
Bowie, Maryland
Bowie, Maryland is a suburban city in the Washington, D.C. metropolitan area known for its planned communities, parks, and family-oriented residential character.
-
B.
Laurel, Maryland
Laurel, Maryland is a suburban city in central Maryland situated between Washington, D.C. and Baltimore, known for its historic Main Street and proximity to major federal agencies and research facilities.
-
C.
Hyattsville, Maryland
Hyattsville, Maryland is a small city in the Washington, D.C. metropolitan area known for its historic districts, arts scene, and diverse residential neighborhoods.
-
D.
Frederick, Maryland
Frederick, Maryland is a historic city in western Maryland known for its vibrant downtown, Civil War heritage, and role as a regional hub for government and biomedical research.
-
E.
Largo, Maryland
Largo, Maryland is an unincorporated suburban community in the Washington, D.C. metropolitan area known for its residential neighborhoods, shopping centers, and proximity to major transit routes and attractions like FedExField.
- F. None of above. chosen
Statements (46)
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: Bladensburg, Maryland Description of subject: Bladensburg, Maryland is a small historic town in the Washington, D.C. metropolitan area known for its role in the War of 1812 and its location along the Anacostia River.
Referenced by (31)
Full triples — surface form annotated when it differs from this entity's canonical label.
this entity surface form:
Bladensburg
this entity surface form:
Bladensburg
this entity surface form:
Bladensburg Dueling Grounds vicinity
subject surface form:
King's Own Scottish Borderers
this entity surface form:
Bladensburg
this entity surface form:
Bladensburg
this entity surface form:
Bladensburg
this entity surface form:
Town of Bladensburg, Maryland
this entity surface form:
Town of Bladensburg government
this entity surface form:
Town of Bladensburg
this entity surface form:
Town of Bladensburg
this entity surface form:
Town of Bladensburg
this entity surface form:
Bladensburg town council
this entity surface form:
Town of Bladensburg
this entity surface form:
Bladensburg