commune of Cachan
E632923
The commune of Cachan is a suburban municipality in the southern outskirts of Paris, France, known for its residential character and educational institutions.
All labels observed (1)
| Label | Occurrences |
|---|---|
| commune of Cachan canonical | 2 |
How this entity was disambiguated
This entity first appeared as the object of triple T6987571 — 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 Cachan Context triple: [arrondissement of L’Haÿ-les-Roses, contains, commune of Cachan]
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A.
Commune of Rosny-sous-Bois
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.
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B.
Commune of Gagny
The Commune of Gagny is a suburban town in the eastern outskirts of Paris, France, known for its residential character and location within the Île-de-France region.
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C.
commune of Neuilly-sur-Seine
The commune of Neuilly-sur-Seine is an affluent suburban municipality just west of central Paris, known for its upscale residential neighborhoods, corporate headquarters, and proximity to the Bois de Boulogne and La Défense business district.
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D.
Commune of Épinay-sur-Seine
The Commune of Épinay-sur-Seine is a suburban municipality in the northern outskirts of Paris, France, known for its residential neighborhoods and location along the Seine River.
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E.
Commune of Clichy-sous-Bois
The Commune of Clichy-sous-Bois is a suburban municipality in the eastern outskirts of Paris, known for its large immigrant population and its role as a focal point of the 2005 French riots.
- 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 Cachan Target entity description: The commune of Cachan is a suburban municipality in the southern outskirts of Paris, France, known for its residential character and educational institutions.
-
A.
Commune of Rosny-sous-Bois
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.
-
B.
Commune of Gagny
The Commune of Gagny is a suburban town in the eastern outskirts of Paris, France, known for its residential character and location within the Île-de-France region.
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C.
commune of Neuilly-sur-Seine
The commune of Neuilly-sur-Seine is an affluent suburban municipality just west of central Paris, known for its upscale residential neighborhoods, corporate headquarters, and proximity to the Bois de Boulogne and La Défense business district.
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D.
Commune of Épinay-sur-Seine
The Commune of Épinay-sur-Seine is a suburban municipality in the northern outskirts of Paris, France, known for its residential neighborhoods and location along the Seine River.
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E.
Commune of Clichy-sous-Bois
The Commune of Clichy-sous-Bois is a suburban municipality in the eastern outskirts of Paris, known for its large immigrant population and its role as a focal point of the 2005 French riots.
- F. None of above. chosen
Statements (44)
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 Cachan Description of subject: The commune of Cachan is a suburban municipality in the southern outskirts of Paris, France, known for its residential character and educational institutions.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.