Épernay station
E461258
Épernay station is a French railway station in the Champagne-producing town of Épernay that serves as a regional hub for passenger rail services.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Épernay station canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T4259654 — 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: Épernay station Context triple: [Épernay, hasRailwayStation, Épernay station]
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A.
Reims-Maison-Blanche station
Reims-Maison-Blanche station is a local railway station serving the city of Reims in northeastern France.
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B.
Gagny station
Gagny station is a suburban railway station in the eastern outskirts of Paris, France, serving the commune of Gagny on the regional RER network.
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C.
Troyes station
Troyes station is the main railway station serving the city of Troyes in northeastern France, providing regional and intercity train connections.
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D.
Reims station
Reims station is the main railway station serving the city of Reims in northeastern France, providing regional and high-speed train connections.
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E.
Marne-la-Vallée–Chessy station
Marne-la-Vallée–Chessy station is a major railway and RER hub in eastern Île-de-France that serves as the primary public transport gateway to Disneyland Paris and the surrounding resort area.
- 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: Épernay station Target entity description: Épernay station is a French railway station in the Champagne-producing town of Épernay that serves as a regional hub for passenger rail services.
-
A.
Reims-Maison-Blanche station
Reims-Maison-Blanche station is a local railway station serving the city of Reims in northeastern France.
-
B.
Gagny station
Gagny station is a suburban railway station in the eastern outskirts of Paris, France, serving the commune of Gagny on the regional RER network.
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C.
Troyes station
Troyes station is the main railway station serving the city of Troyes in northeastern France, providing regional and intercity train connections.
-
D.
Reims station
Reims station is the main railway station serving the city of Reims in northeastern France, providing regional and high-speed train connections.
-
E.
Marne-la-Vallée–Chessy station
Marne-la-Vallée–Chessy station is a major railway and RER hub in eastern Île-de-France that serves as the primary public transport gateway to Disneyland Paris and the surrounding resort area.
- F. None of above. chosen
Statements (46)
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: Épernay station Description of subject: Épernay station is a French railway station in the Champagne-producing town of Épernay that serves as a regional hub for passenger rail services.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.