Villepinte, Seine-Saint-Denis, France
E733921
Villepinte is a suburban commune in the northeastern outskirts of Paris, located in the Seine-Saint-Denis department of France and known for its residential areas and proximity to major transport hubs.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Villepinte, Seine-Saint-Denis, France canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T8447479 — 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: Villepinte, Seine-Saint-Denis, France Context triple: [Saïd Taghmaoui, placeOfBirth, Villepinte, Seine-Saint-Denis, France]
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A.
Sainte-Geneviève-des-Bois, Essonne, France
Sainte-Geneviève-des-Bois is a suburban commune in the Essonne department of the Île-de-France region, known as the site of the world’s first modern hypermarket opened by Carrefour.
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B.
Louveciennes, Yvelines, France
Louveciennes, in the Yvelines department of north-central France, is a suburban commune west of Paris known for its historic residences and association with notable figures such as physicist Louis de Broglie.
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C.
Rueil-Malmaison, France
Rueil-Malmaison, France is a western suburb of Paris best known as the former residence and place of death of Empress Joséphine, featuring the historic Château de Malmaison.
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D.
Levallois-Perret, France
Levallois-Perret, France is a densely populated suburban commune just northwest of central Paris, known for its residential neighborhoods and as a base for numerous corporate headquarters.
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E.
Vélizy-Villacoublay, France
Vélizy-Villacoublay is a suburban commune southwest of Paris known for its technology and aerospace industries, including serving as the base for major companies like Dassault Systèmes.
- 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: Villepinte, Seine-Saint-Denis, France Target entity description: Villepinte is a suburban commune in the northeastern outskirts of Paris, located in the Seine-Saint-Denis department of France and known for its residential areas and proximity to major transport hubs.
-
A.
Sainte-Geneviève-des-Bois, Essonne, France
Sainte-Geneviève-des-Bois is a suburban commune in the Essonne department of the Île-de-France region, known as the site of the world’s first modern hypermarket opened by Carrefour.
-
B.
Louveciennes, Yvelines, France
Louveciennes, in the Yvelines department of north-central France, is a suburban commune west of Paris known for its historic residences and association with notable figures such as physicist Louis de Broglie.
-
C.
Rueil-Malmaison, France
Rueil-Malmaison, France is a western suburb of Paris best known as the former residence and place of death of Empress Joséphine, featuring the historic Château de Malmaison.
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D.
Levallois-Perret, France
Levallois-Perret, France is a densely populated suburban commune just northwest of central Paris, known for its residential neighborhoods and as a base for numerous corporate headquarters.
-
E.
Vélizy-Villacoublay, France
Vélizy-Villacoublay is a suburban commune southwest of Paris known for its technology and aerospace industries, including serving as the base for major companies like Dassault Systèmes.
- 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: Villepinte, Seine-Saint-Denis, France Description of subject: Villepinte is a suburban commune in the northeastern outskirts of Paris, located in the Seine-Saint-Denis department of France and known for its residential areas and proximity to major transport hubs.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.