Massy–Verrières station

E444679

RER station railway station

Massy–Verrières station is a railway station in Massy, France, serving as a local commuter hub on the Paris RER network.

Try in SPARQL Jump to: Surface forms Statements Referenced by

All labels observed (2)

Label	Occurrences
Gare de Massy-Verrières	1
Massy–Verrières station canonical	1

Statements (25)

Predicate	Object
instanceOf	RER station ⓘ railway station ⓘ
category	Railway stations in Essonne ⓘ Réseau Express Régional stations ⓘ
connectsTo	Massy–Palaiseau station NERFINISHED ⓘ
country	France ⓘ
fareZone	Île-de-France fare zone 4 ⓘ
hasAccess	pedestrian access ⓘ road access ⓘ
hasPlatformType	side platforms ⓘ
hasService	local commuter rail services ⓘ
locatedIn	Massy, Essonne NERFINISHED ⓘ
locatedInAdministrativeTerritory	Essonne NERFINISHED ⓘ Île-de-France NERFINISHED ⓘ
locatedInTimeZone	Central European Summer Time ⓘ Central European Time ⓘ
locatedNear	southern suburbs of Paris ⓘ
operatedBy	SNCF NERFINISHED ⓘ
ownedBy	SNCF NERFINISHED ⓘ
partOf	Paris RER network NERFINISHED ⓘ
partOfTransportNetwork	Île-de-France public transport network NERFINISHED ⓘ
railwayLine	RER B NERFINISHED ⓘ RER C NERFINISHED ⓘ
serves	Massy NERFINISHED ⓘ Paris metropolitan area NERFINISHED ⓘ

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: Massy–Verrières station
Description of subject: Massy–Verrières station is a railway station in Massy, France, serving as a local commuter hub on the Paris RER network.

Referenced by (2)

Full triples — surface form annotated when it differs from this entity's canonical label.

Massy-Palaiseau station → connectsTo → Massy–Verrières station ⓘ

Massy, Essonne → hasRailwayStation → Massy–Verrières station ⓘ

this entity surface form: Gare de Massy-Verrières