Cap-d'Ail, Alpes-Maritimes, France
E829007
Cap-d'Ail is a coastal commune on the French Riviera in the Alpes-Maritimes department of southeastern France, known for its scenic Mediterranean shoreline and proximity to Monaco.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Cap-d'Ail, Alpes-Maritimes, France canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T9908930 — 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: Cap-d'Ail, Alpes-Maritimes, France Context triple: [Grand Duke Alexei Alexandrovich of Russia, deathPlace, Cap-d'Ail, Alpes-Maritimes, France]
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A.
Cagnes-sur-Mer, Alpes-Maritimes, France
Cagnes-sur-Mer is a coastal town on the French Riviera in southeastern France, known for its picturesque setting that attracted artists such as Pierre-Auguste Renoir.
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B.
Saint-Raphaël, Var, France
Saint-Raphaël is a Mediterranean seaside resort town on the French Riviera in the Var department of southeastern France, known for its beaches, coastal scenery, and Belle Époque architecture.
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C.
Aubagne, France
Aubagne, France is a town in the Provence-Alpes-Côte d'Azur region near Marseille, known for its military significance, traditional ceramics, and as the birthplace of writer and filmmaker Marcel Pagnol.
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D.
Saint-Jean-Cap-Ferrat, France
Saint-Jean-Cap-Ferrat, France is an exclusive Mediterranean seaside commune on the French Riviera known for its luxurious villas, scenic peninsula, and affluent residents.
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E.
Marignane, France
Marignane, France is a commune in the Bouches-du-Rhône department in southern France, known as a major hub of the aerospace and helicopter industry.
- 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: Cap-d'Ail, Alpes-Maritimes, France Target entity description: Cap-d'Ail is a coastal commune on the French Riviera in the Alpes-Maritimes department of southeastern France, known for its scenic Mediterranean shoreline and proximity to Monaco.
-
A.
Cagnes-sur-Mer, Alpes-Maritimes, France
Cagnes-sur-Mer is a coastal town on the French Riviera in southeastern France, known for its picturesque setting that attracted artists such as Pierre-Auguste Renoir.
-
B.
Saint-Raphaël, Var, France
Saint-Raphaël is a Mediterranean seaside resort town on the French Riviera in the Var department of southeastern France, known for its beaches, coastal scenery, and Belle Époque architecture.
-
C.
Aubagne, France
Aubagne, France is a town in the Provence-Alpes-Côte d'Azur region near Marseille, known for its military significance, traditional ceramics, and as the birthplace of writer and filmmaker Marcel Pagnol.
-
D.
Saint-Jean-Cap-Ferrat, France
Saint-Jean-Cap-Ferrat, France is an exclusive Mediterranean seaside commune on the French Riviera known for its luxurious villas, scenic peninsula, and affluent residents.
-
E.
Marignane, France
Marignane, France is a commune in the Bouches-du-Rhône department in southern France, known as a major hub of the aerospace and helicopter industry.
- F. None of above. chosen
Statements (47)
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: Cap-d'Ail, Alpes-Maritimes, France Description of subject: Cap-d'Ail is a coastal commune on the French Riviera in the Alpes-Maritimes department of southeastern France, known for its scenic Mediterranean shoreline and proximity to Monaco.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.