Commune of Rosny-sous-Bois
E288871
The Commune of Rosny-sous-Bois is a suburban municipality in the eastern outskirts of Paris, France, known for its residential neighborhoods and commercial centers.
All labels observed (3)
| Label | Occurrences |
|---|---|
| Bois-Perrier area of Rosny-sous-Bois | 1 |
| Commune of Rosny-sous-Bois canonical | 1 |
| commune of Rosny-sous-Bois | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T2381224 — 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: Commune of Rosny-sous-Bois Context triple: [Seine-Saint-Denis, contains, Commune of Rosny-sous-Bois]
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A.
Commune of Aulnay-sous-Bois
The Commune of Aulnay-sous-Bois is a suburban municipality in the northeastern outskirts of Paris, France, known for its diverse population and significant residential and industrial areas.
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B.
Commune of Noisy-le-Grand
The Commune of Noisy-le-Grand is a suburban town in the eastern outskirts of Paris, France, known for its modern architecture and role as part of the Marne-la-Vallée new town development.
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C.
Commune of Aubervilliers
The Commune of Aubervilliers is a densely populated suburban municipality just northeast of Paris, known for its cultural diversity and strong working-class and industrial heritage.
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D.
Commune of Pantin
The Commune of Pantin is a northeastern suburb of Paris known for its dense urban fabric, canalside developments, and role as a residential and industrial hub within the Seine-Saint-Denis department.
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E.
Commune of Bondy
The Commune of Bondy is a suburban municipality in the northeastern outskirts of Paris, France, known for its dense urban character and diverse population within the Île-de-France region.
- 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: Commune of Rosny-sous-Bois Target entity description: The Commune of Rosny-sous-Bois is a suburban municipality in the eastern outskirts of Paris, France, known for its residential neighborhoods and commercial centers.
-
A.
Commune of Aulnay-sous-Bois
The Commune of Aulnay-sous-Bois is a suburban municipality in the northeastern outskirts of Paris, France, known for its diverse population and significant residential and industrial areas.
-
B.
Commune of Noisy-le-Grand
The Commune of Noisy-le-Grand is a suburban town in the eastern outskirts of Paris, France, known for its modern architecture and role as part of the Marne-la-Vallée new town development.
-
C.
Commune of Aubervilliers
The Commune of Aubervilliers is a densely populated suburban municipality just northeast of Paris, known for its cultural diversity and strong working-class and industrial heritage.
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D.
Commune of Pantin
The Commune of Pantin is a northeastern suburb of Paris known for its dense urban fabric, canalside developments, and role as a residential and industrial hub within the Seine-Saint-Denis department.
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E.
Commune of Bondy
The Commune of Bondy is a suburban municipality in the northeastern outskirts of Paris, France, known for its dense urban character and diverse population within the Île-de-France region.
- 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: Commune of Rosny-sous-Bois Description of subject: The Commune of Rosny-sous-Bois is a suburban municipality in the eastern outskirts of Paris, France, known for its residential neighborhoods and commercial centers.
Referenced by (3)
Full triples — surface form annotated when it differs from this entity's canonical label.
linked to: Commune of Rosny-sous-Bois
linked to: Commune of Rosny-sous-Bois