municipality of Krimpenerwaard
E645733
The municipality of Krimpenerwaard is a local government area in the province of South Holland in the Netherlands, encompassing several towns and villages in the Krimpenerwaard polder region.
All labels observed (4)
| Label | Occurrences |
|---|---|
| municipality of Krimpenerwaard canonical | 11 |
| Krimpenerwaard (municipality) | 5 |
| municipal council of Krimpenerwaard | 5 |
| Krimpenerwaard municipality | 3 |
How this entity was disambiguated
This entity first appeared as the object of triple T7156665 — 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 Krimpenerwaard Context triple: [Haastrecht, partOf, municipality of Krimpenerwaard]
-
A.
municipality of Zwartewaterland
The municipality of Zwartewaterland is a local government area in the Dutch province of Overijssel that includes towns such as Hasselt and lies along the Zwarte Water river.
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B.
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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C.
municipality of Hoeksche Waard
The municipality of Hoeksche Waard is a local government area in South Holland, Netherlands, encompassing several towns and villages on the Hoeksche Waard island.
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D.
Municipality of Weststellingwerf
The Municipality of Weststellingwerf is a local government area in the province of Friesland in the northern Netherlands, known for its rural landscape and small villages.
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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 Krimpenerwaard Target entity description: The municipality of Krimpenerwaard is a local government area in the province of South Holland in the Netherlands, encompassing several towns and villages in the Krimpenerwaard polder region.
-
A.
municipality of Zwartewaterland
The municipality of Zwartewaterland is a local government area in the Dutch province of Overijssel that includes towns such as Hasselt and lies along the Zwarte Water river.
-
B.
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.
-
C.
municipality of Hoeksche Waard
The municipality of Hoeksche Waard is a local government area in South Holland, Netherlands, encompassing several towns and villages on the Hoeksche Waard island.
-
D.
Municipality of Weststellingwerf
The Municipality of Weststellingwerf is a local government area in the province of Friesland in the northern Netherlands, known for its rural landscape and small villages.
-
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 (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: municipality of Krimpenerwaard Description of subject: The municipality of Krimpenerwaard is a local government area in the province of South Holland in the Netherlands, encompassing several towns and villages in the Krimpenerwaard polder region.
Referenced by (24)
Full triples — surface form annotated when it differs from this entity's canonical label.
linked to: municipality of Krimpenerwaard
linked to: municipality of Krimpenerwaard
linked to: municipality of Krimpenerwaard
linked to: municipality of Krimpenerwaard
linked to: municipality of Krimpenerwaard
linked to: municipality of Krimpenerwaard
linked to: municipality of Krimpenerwaard
linked to: municipality of Krimpenerwaard
linked to: municipality of Krimpenerwaard
linked to: municipality of Krimpenerwaard