municipality of Vierlingsbeek
E586159
The municipality of Vierlingsbeek was a former local government area in the Dutch province of North Brabant that included the village of Vierlingsbeek and its surroundings.
All labels observed (1)
| Label | Occurrences |
|---|---|
| municipality of Vierlingsbeek canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T6354059 — 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: municipality of Vierlingsbeek Context triple: [Vierlingsbeek, locatedInFormerAdministrativeUnit, municipality of Vierlingsbeek]
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A.
municipality of Laarbeek
The municipality of Laarbeek is a local government area in the Dutch province of North Brabant that encompasses several villages, including Aarle-Rixtel.
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B.
municipality of Vijfheerenlanden
The municipality of Vijfheerenlanden is a local government area in the Dutch province of Utrecht that includes towns such as Vianen and several surrounding villages.
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C.
municipality of Stichtse Vecht
The municipality of Stichtse Vecht is a local government area in the Dutch province of Utrecht, known for its historic river estates and towns such as Breukelen, Loenen aan de Vecht, and Maarssen.
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D.
Groesbeek municipality
Groesbeek municipality was a former local government area in the Dutch province of Gelderland, known for its hilly landscape, World War II history, and eventual incorporation into the municipality of Berg en Dal.
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E.
municipality of Haarlemmermeer
The municipality of Haarlemmermeer is a Dutch polder area in North Holland, known for its reclaimed land including Schiphol Airport and several rapidly growing towns.
- 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: municipality of Vierlingsbeek Target entity description: The municipality of Vierlingsbeek was a former local government area in the Dutch province of North Brabant that included the village of Vierlingsbeek and its surroundings.
-
A.
municipality of Laarbeek
The municipality of Laarbeek is a local government area in the Dutch province of North Brabant that encompasses several villages, including Aarle-Rixtel.
-
B.
municipality of Vijfheerenlanden
The municipality of Vijfheerenlanden is a local government area in the Dutch province of Utrecht that includes towns such as Vianen and several surrounding villages.
-
C.
municipality of Stichtse Vecht
The municipality of Stichtse Vecht is a local government area in the Dutch province of Utrecht, known for its historic river estates and towns such as Breukelen, Loenen aan de Vecht, and Maarssen.
-
D.
Groesbeek municipality
Groesbeek municipality was a former local government area in the Dutch province of Gelderland, known for its hilly landscape, World War II history, and eventual incorporation into the municipality of Berg en Dal.
-
E.
municipality of Haarlemmermeer
The municipality of Haarlemmermeer is a Dutch polder area in North Holland, known for its reclaimed land including Schiphol Airport and several rapidly growing towns.
- F. None of above. chosen
Statements (32)
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: municipality of Vierlingsbeek Description of subject: The municipality of Vierlingsbeek was a former local government area in the Dutch province of North Brabant that included the village of Vierlingsbeek and its surroundings.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.