arrondissement of Rouen
E317110
The arrondissement of Rouen is an administrative district in the Seine-Maritime department of northern France, centered on the city of Rouen and encompassing numerous surrounding communes.
All labels observed (2)
| Label | Occurrences |
|---|---|
| arrondissement of Rouen canonical | 6 |
| Province of Rouen | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T2983083 — 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 Rouen Context triple: [Mont-Saint-Aignan, isPartOf, arrondissement of Rouen]
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A.
Arrondissement of Caen
The Arrondissement of Caen is an administrative district in the Calvados department of northwestern France, centered on the city of Caen and encompassing numerous surrounding communes.
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B.
arrondissement of Cherbourg
The arrondissement of Cherbourg is an administrative district in the Manche department of Normandy, France, centered on the port city of Cherbourg and encompassing several surrounding communes.
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C.
arrondissement of Saint-Lô
The arrondissement of Saint-Lô is an administrative district in the Manche department of northwestern France, centered on the town of Saint-Lô and encompassing several communes including Carentan-les-Marais.
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D.
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.
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E.
arrondissement of Nanterre
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.
- 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 Rouen Target entity description: The arrondissement of Rouen is an administrative district in the Seine-Maritime department of northern France, centered on the city of Rouen and encompassing numerous surrounding communes.
-
A.
Arrondissement of Caen
The Arrondissement of Caen is an administrative district in the Calvados department of northwestern France, centered on the city of Caen and encompassing numerous surrounding communes.
-
B.
arrondissement of Cherbourg
The arrondissement of Cherbourg is an administrative district in the Manche department of Normandy, France, centered on the port city of Cherbourg and encompassing several surrounding communes.
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C.
arrondissement of Saint-Lô
The arrondissement of Saint-Lô is an administrative district in the Manche department of northwestern France, centered on the town of Saint-Lô and encompassing several communes including Carentan-les-Marais.
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D.
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.
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E.
arrondissement of Nanterre
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.
- 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 Rouen Description of subject: The arrondissement of Rouen is an administrative district in the Seine-Maritime department of northern France, centered on the city of Rouen and encompassing numerous surrounding communes.
Referenced by (7)
Full triples — surface form annotated when it differs from this entity's canonical label.
subject surface form:
Mont-Saint-Aignan
this entity surface form:
Province of Rouen