Val-de-Marne
E47852
Val-de-Marne is a suburban department in north-central France, southeast of Paris, known for its mix of residential communities, river landscapes along the Marne, and key transport links within the Île-de-France region.
All labels observed (4)
| Label | Occurrences |
|---|---|
| Val-de-Marne canonical | 65 |
| Val-de-Marne department | 15 |
| department of Val-de-Marne | 2 |
| Préfecture du Val-de-Marne | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T346893 — 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: Val-de-Marne Context triple: [Île-de-France, contains, Val-de-Marne]
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A.
Yvelines
Yvelines is a department in north-central France, west of Paris, known for the Palace of Versailles and its mix of historic towns, forests, and affluent suburbs.
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B.
Seine-et-Marne
Seine-et-Marne is a largely rural department in north-central France east of Paris, known for its historic towns, agricultural landscapes, and attractions such as the Château de Fontainebleau and Disneyland Paris.
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C.
Hauts-de-Seine
Hauts-de-Seine is a suburban department in north-central France that forms part of the western inner ring around Paris and is known for hosting the major business district of La Défense.
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D.
Essonne
Essonne is a department in northern France that forms part of the Paris metropolitan region and includes a mix of suburban communities, research centers, and rural areas.
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E.
Seine-Saint-Denis
Seine-Saint-Denis is a densely populated suburban department northeast of Paris, known for its cultural diversity, working-class communities, and significant role in the metropolitan area’s social and economic life.
- 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: Val-de-Marne Target entity description: Val-de-Marne is a suburban department in north-central France, southeast of Paris, known for its mix of residential communities, river landscapes along the Marne, and key transport links within the Île-de-France region.
-
A.
Yvelines
Yvelines is a department in north-central France, west of Paris, known for the Palace of Versailles and its mix of historic towns, forests, and affluent suburbs.
-
B.
Seine-et-Marne
Seine-et-Marne is a largely rural department in north-central France east of Paris, known for its historic towns, agricultural landscapes, and attractions such as the Château de Fontainebleau and Disneyland Paris.
-
C.
Hauts-de-Seine
Hauts-de-Seine is a suburban department in north-central France that forms part of the western inner ring around Paris and is known for hosting the major business district of La Défense.
-
D.
Essonne
Essonne is a department in northern France that forms part of the Paris metropolitan region and includes a mix of suburban communities, research centers, and rural areas.
-
E.
Seine-Saint-Denis
Seine-Saint-Denis is a densely populated suburban department northeast of Paris, known for its cultural diversity, working-class communities, and significant role in the metropolitan area’s social and economic life.
- 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: Val-de-Marne Description of subject: Val-de-Marne is a suburban department in north-central France, southeast of Paris, known for its mix of residential communities, river landscapes along the Marne, and key transport links within the Île-de-France region.
Referenced by (83)
Full triples — surface form annotated when it differs from this entity's canonical label.
this entity surface form:
Val-de-Marne department
this entity surface form:
Val-de-Marne department
this entity surface form:
Val-de-Marne department
this entity surface form:
Val-de-Marne department
this entity surface form:
Val-de-Marne department
this entity surface form:
Val-de-Marne department
this entity surface form:
department of Val-de-Marne