municipality of Woluwe-Saint-Pierre
E217458
The municipality of Woluwe-Saint-Pierre is a largely residential, affluent commune in the eastern part of Brussels known for its green spaces and diplomatic presence.
All labels observed (3)
| Label | Occurrences |
|---|---|
| municipal council of Woluwe-Saint-Pierre | 1 |
| municipality of Houyet | 1 |
| municipality of Woluwe-Saint-Pierre canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T1900152 — 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 Woluwe-Saint-Pierre Context triple: [Brussels-Capital Region, contains, municipality of Woluwe-Saint-Pierre]
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A.
Woluwe-Saint-Lambert
Woluwe-Saint-Lambert is a residential municipality in the Brussels-Capital Region of Belgium, known for its green spaces and quiet suburban character.
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B.
municipality of Saint-Gilles
The municipality of Saint-Gilles is a densely populated, culturally diverse urban area in the Brussels-Capital Region, known for its Art Nouveau architecture and vibrant social and artistic life.
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C.
municipality of Berchem-Sainte-Agathe
The municipality of Berchem-Sainte-Agathe is a small, primarily residential commune in the northwest of Brussels known for its village-like atmosphere and green spaces.
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D.
Tulle Agglo
Tulle Agglo is an intercommunal structure in central France that groups Tulle and neighboring communes to coordinate local services and development.
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E.
municipality of Saint-Josse-ten-Noode
The municipality of Saint-Josse-ten-Noode is the smallest and one of the most densely populated communes in the Brussels metropolitan area, known for its cultural diversity and urban character.
- 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 Woluwe-Saint-Pierre Target entity description: The municipality of Woluwe-Saint-Pierre is a largely residential, affluent commune in the eastern part of Brussels known for its green spaces and diplomatic presence.
-
A.
Woluwe-Saint-Lambert
Woluwe-Saint-Lambert is a residential municipality in the Brussels-Capital Region of Belgium, known for its green spaces and quiet suburban character.
-
B.
municipality of Saint-Gilles
The municipality of Saint-Gilles is a densely populated, culturally diverse urban area in the Brussels-Capital Region, known for its Art Nouveau architecture and vibrant social and artistic life.
-
C.
municipality of Berchem-Sainte-Agathe
The municipality of Berchem-Sainte-Agathe is a small, primarily residential commune in the northwest of Brussels known for its village-like atmosphere and green spaces.
-
D.
Tulle Agglo
Tulle Agglo is an intercommunal structure in central France that groups Tulle and neighboring communes to coordinate local services and development.
-
E.
municipality of Saint-Josse-ten-Noode
The municipality of Saint-Josse-ten-Noode is the smallest and one of the most densely populated communes in the Brussels metropolitan area, known for its cultural diversity and urban character.
- F. None of above. chosen
Statements (48)
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 Woluwe-Saint-Pierre Description of subject: The municipality of Woluwe-Saint-Pierre is a largely residential, affluent commune in the eastern part of Brussels known for its green spaces and diplomatic presence.
Referenced by (3)
Full triples — surface form annotated when it differs from this entity's canonical label.
municipality of Woluwe-Saint-Pierre
→
governedBy
→
municipality of Woluwe-Saint-Pierre
self-linksurface differs
ⓘ
subject surface form:
Woluwe-Saint-Pierre
this entity surface form:
municipal council of Woluwe-Saint-Pierre