Saint-Quentin railway station
E769066
Saint-Quentin railway station is the main passenger rail hub serving the town of Saint-Quentin in northern France, providing regional and intercity connections.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Saint-Quentin railway station canonical | 2 |
How this entity was disambiguated
This entity first appeared as the object of triple T8961325 — 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: Saint-Quentin railway station Context triple: [Saint-Quentin, hasTransport, Saint-Quentin railway station]
-
A.
Le Cateau station
Le Cateau station is a railway station serving the town of Le Cateau-Cambrésis in northern France, providing regional rail connections within the Hauts-de-France area.
-
B.
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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C.
Chêne-Bourg station
Chêne-Bourg station is a railway station in the Geneva canton of Switzerland that serves as a stop on the regional Léman Express network.
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D.
Villeneuve-d’Ascq–Pont de Bois station
Villeneuve-d’Ascq–Pont de Bois station is a public transit stop in Villeneuve d’Ascq, France, serving as part of the local urban transport network.
-
E.
Miromesnil station
Miromesnil station is a Paris Métro station in the 8th arrondissement, serving lines 9 and 13 near major boulevards and government buildings.
- 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: Saint-Quentin railway station Target entity description: Saint-Quentin railway station is the main passenger rail hub serving the town of Saint-Quentin in northern France, providing regional and intercity connections.
-
A.
Le Cateau station
Le Cateau station is a railway station serving the town of Le Cateau-Cambrésis in northern France, providing regional rail connections within the Hauts-de-France area.
-
B.
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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C.
Chêne-Bourg station
Chêne-Bourg station is a railway station in the Geneva canton of Switzerland that serves as a stop on the regional Léman Express network.
-
D.
Villeneuve-d’Ascq–Pont de Bois station
Villeneuve-d’Ascq–Pont de Bois station is a public transit stop in Villeneuve d’Ascq, France, serving as part of the local urban transport network.
-
E.
Miromesnil station
Miromesnil station is a Paris Métro station in the 8th arrondissement, serving lines 9 and 13 near major boulevards and government buildings.
- F. None of above. chosen
Statements (25)
| Predicate | Object |
|---|---|
| instanceOf |
railway station
ⓘ
train station ⓘ |
| category |
railway stations in Aisne
ⓘ
railway stations in Hauts-de-France ⓘ |
| country | France ⓘ |
| function | passenger rail hub ⓘ |
| hasConnections |
intercity destinations in France
ⓘ
regional destinations in northern France ⓘ |
| hasInfrastructureType | railway infrastructure ⓘ |
| locatedIn | Saint-Quentin ⓘ |
| locatedInAdministrativeTerritory | Aisne ⓘ |
| locatedInContinent | Europe ⓘ |
| locatedInNorthernPartOf | France ⓘ |
| locatedInRegion | Hauts-de-France ⓘ |
| operator | SNCF ⓘ |
| ownedBy | SNCF ⓘ |
| primaryRole | main passenger rail hub for Saint-Quentin ⓘ |
| railNetwork | SNCF ⓘ |
| railwaySystem | French railway network ⓘ |
| serves | Saint-Quentin ⓘ |
| servesAs | gateway to Saint-Quentin for rail passengers ⓘ |
| serviceType |
intercity rail services
ⓘ
regional rail services ⓘ |
| transportMode | rail ⓘ |
| usedFor | passenger transport ⓘ |
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: Saint-Quentin railway station Description of subject: Saint-Quentin railway station is the main passenger rail hub serving the town of Saint-Quentin in northern France, providing regional and intercity connections.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.