Sèvres–Ville-d’Avray
E904903
Sèvres–Ville-d’Avray is a suburban railway station in the western outskirts of Paris, France, serving the communes of Sèvres and Ville-d’Avray on the Transilien network.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Sèvres–Ville-d’Avray canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T10913798 — 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: Sèvres–Ville-d’Avray Context triple: [Transilien Line U, viaStation, Sèvres–Ville-d’Avray]
-
A.
Sèvres–Lecourbe
Sèvres–Lecourbe is a Paris Métro station in the 15th arrondissement, located near the intersection of Boulevard Garibaldi and Rue Lecourbe.
-
B.
Villetaneuse
Villetaneuse is a suburban commune in the northern outskirts of Paris, France, known for its residential character and the presence of the Université Paris 13 campus.
-
C.
Le Vésinet
Le Vésinet is a suburban town in the western outskirts of Paris, France, known for its landscaped parks, lakes, and villa-style residential character.
-
D.
Soisy-sur-Seine
Soisy-sur-Seine is a suburban commune in the Essonne department in northern France, situated along the Seine River south of Paris.
-
E.
Châtillon–Montrouge
Châtillon–Montrouge is a Paris Métro station in the southern suburbs of Paris that serves as a key transport hub and interchange on the network.
- 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: Sèvres–Ville-d’Avray Target entity description: Sèvres–Ville-d’Avray is a suburban railway station in the western outskirts of Paris, France, serving the communes of Sèvres and Ville-d’Avray on the Transilien network.
-
A.
Sèvres–Lecourbe
Sèvres–Lecourbe is a Paris Métro station in the 15th arrondissement, located near the intersection of Boulevard Garibaldi and Rue Lecourbe.
-
B.
Villetaneuse
Villetaneuse is a suburban commune in the northern outskirts of Paris, France, known for its residential character and the presence of the Université Paris 13 campus.
-
C.
Le Vésinet
Le Vésinet is a suburban town in the western outskirts of Paris, France, known for its landscaped parks, lakes, and villa-style residential character.
-
D.
Soisy-sur-Seine
Soisy-sur-Seine is a suburban commune in the Essonne department in northern France, situated along the Seine River south of Paris.
-
E.
Châtillon–Montrouge
Châtillon–Montrouge is a Paris Métro station in the southern suburbs of Paris that serves as a key transport hub and interchange on the network.
- F. None of above. chosen
Statements (20)
| Predicate | Object |
|---|---|
| instanceOf |
railway station
ⓘ
suburban railway station ⓘ |
| country | France ⓘ |
| electrification | overhead line ⓘ |
| fareZone | Île-de-France fare zone 3 ⓘ |
| hasService | Transilien Line L NERFINISHED ⓘ |
| hasStationCode | station code used by SNCF (Transilien) ⓘ |
| locatedIn |
Hauts-de-Seine
NERFINISHED
ⓘ
Sèvres NERFINISHED ⓘ Ville-d’Avray NERFINISHED ⓘ western outskirts of Paris ⓘ Île-de-France region ⓘ
surface form:
Île-de-France
|
| operator | SNCF NERFINISHED ⓘ |
| ownedBy | SNCF ⓘ |
| partOfNetwork | Transilien NERFINISHED ⓘ |
| platformCount | 2 ⓘ |
| railwayLine | Paris–Versailles line via Saint-Cloud NERFINISHED ⓘ |
| serves |
Sèvres
NERFINISHED
ⓘ
Ville-d’Avray NERFINISHED ⓘ |
| trackCount | 2 ⓘ |
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: Sèvres–Ville-d’Avray Description of subject: Sèvres–Ville-d’Avray is a suburban railway station in the western outskirts of Paris, France, serving the communes of Sèvres and Ville-d’Avray on the Transilien network.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.