arrondissement of Nanterre
E167111
The arrondissement of Nanterre is an administrative district in the western suburbs of Paris that encompasses several communes in the Hauts-de-Seine department of France.
All labels observed (1)
| Label | Occurrences |
|---|---|
| arrondissement of Nanterre canonical | 18 |
How this entity was disambiguated
This entity first appeared as the object of triple T1442148 — 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: arrondissement of Nanterre Context triple: [Clichy, Hauts-de-Seine, France, belongsTo, arrondissement of Nanterre]
-
A.
arrondissement of Sarcelles
The arrondissement of Sarcelles is an administrative district in the Val-d'Oise department in the Île-de-France region of northern France, encompassing several communes in the northern suburbs of Paris.
-
B.
arrondissement of Palaiseau
The arrondissement of Palaiseau is an administrative district in the Essonne department of the Île-de-France region in northern France, encompassing several communes in the southern suburbs of Paris.
-
C.
arrondissement of Meaux
The arrondissement of Meaux is an administrative district in the Seine-et-Marne department in the Île-de-France region of north-central France, centered on the town of Meaux and comprising numerous surrounding communes.
-
D.
arrondissement of L’Haÿ-les-Roses
The arrondissement of L’Haÿ-les-Roses is an administrative district in the Val-de-Marne department in the Île-de-France region of northern France, encompassing several communes in the southern suburbs of Paris.
-
E.
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.
- 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: arrondissement of Nanterre Target entity description: The arrondissement of Nanterre is an administrative district in the western suburbs of Paris that encompasses several communes in the Hauts-de-Seine department of France.
-
A.
arrondissement of Sarcelles
The arrondissement of Sarcelles is an administrative district in the Val-d'Oise department in the Île-de-France region of northern France, encompassing several communes in the northern suburbs of Paris.
-
B.
arrondissement of Palaiseau
The arrondissement of Palaiseau is an administrative district in the Essonne department of the Île-de-France region in northern France, encompassing several communes in the southern suburbs of Paris.
-
C.
arrondissement of Meaux
The arrondissement of Meaux is an administrative district in the Seine-et-Marne department in the Île-de-France region of north-central France, centered on the town of Meaux and comprising numerous surrounding communes.
-
D.
arrondissement of L’Haÿ-les-Roses
The arrondissement of L’Haÿ-les-Roses is an administrative district in the Val-de-Marne department in the Île-de-France region of northern France, encompassing several communes in the southern suburbs of Paris.
-
E.
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.
- 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: arrondissement of Nanterre Description of subject: The arrondissement of Nanterre is an administrative district in the western suburbs of Paris that encompasses several communes in the Hauts-de-Seine department of France.
Referenced by (18)
Full triples — surface form annotated when it differs from this entity's canonical label.
subject surface form:
Rueil-Malmaison
subject surface form:
Puteaux
subject surface form:
Neuilly-sur-Seine