Les Grésillons station
E324490
Les Grésillons station is a commuter rail stop in the Paris metropolitan area serving the suburb of Argenteuil in northern France.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Les Grésillons station canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T3089415 — 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: Les Grésillons station Context triple: [Argenteuil, hasRailwayStation, Les Grésillons station]
-
A.
Casa-Voyageurs railway station
Casa-Voyageurs railway station is a major rail hub in Casablanca, Morocco, serving as one of the country’s primary intercity and high-speed train terminals.
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B.
Rideau station
Rideau station is a major underground light rail transit station in downtown Ottawa, Canada, serving the O-Train Confederation Line and providing access to nearby commercial and tourist areas.
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C.
Waterloo East station
Waterloo East station is a central London railway station on the South Bank, serving suburban and regional services and linked by footbridge to both Waterloo and Charing Cross stations.
-
D.
Waterloo station
Waterloo station is a major central London railway terminus and Underground hub, known as one of the busiest transport interchanges in the United Kingdom.
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E.
Waban station
Waban station is a light rail stop on Boston's MBTA Green Line located in the Waban neighborhood of Newton, Massachusetts.
- 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: Les Grésillons station Target entity description: Les Grésillons station is a commuter rail stop in the Paris metropolitan area serving the suburb of Argenteuil in northern France.
-
A.
Casa-Voyageurs railway station
Casa-Voyageurs railway station is a major rail hub in Casablanca, Morocco, serving as one of the country’s primary intercity and high-speed train terminals.
-
B.
Rideau station
Rideau station is a major underground light rail transit station in downtown Ottawa, Canada, serving the O-Train Confederation Line and providing access to nearby commercial and tourist areas.
-
C.
Waterloo East station
Waterloo East station is a central London railway station on the South Bank, serving suburban and regional services and linked by footbridge to both Waterloo and Charing Cross stations.
-
D.
Waterloo station
Waterloo station is a major central London railway terminus and Underground hub, known as one of the busiest transport interchanges in the United Kingdom.
-
E.
Waban station
Waban station is a light rail stop on Boston's MBTA Green Line located in the Waban neighborhood of Newton, Massachusetts.
- F. None of above. chosen
Statements (13)
| Predicate | Object |
|---|---|
| instanceOf |
commuter rail station
ⓘ
railway station ⓘ |
| country | France ⓘ |
| fareZone | Île-de-France fare system ⓘ |
| hasFunction | passenger transport ⓘ |
| locatedIn |
Argenteuil
ⓘ
Grand Paris urban area ⓘ
surface form:
Paris metropolitan area
Île-de-France region ⓘ
surface form:
Île-de-France
|
| locatedInAdministrativeTerritory | Val-d'Oise department ⓘ |
| locatedInNorthernPartOf | France ⓘ |
| railNetwork | Transilien ⓘ |
| servedBy | commuter rail ⓘ |
| serviceArea | suburb of Argenteuil ⓘ |
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: Les Grésillons station Description of subject: Les Grésillons station is a commuter rail stop in the Paris metropolitan area serving the suburb of Argenteuil in northern France.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.
subject surface form:
Argenteuil