Pont de l’Alma RER station

E285716

RER station commuter rail station railway station

Pont de l’Alma RER station is a commuter rail stop in central Paris serving line C of the RER network near the Pont de l’Alma and the Seine.

Try in SPARQL Jump to: Surface forms Statements Referenced by

All labels observed (2)

Label	Occurrences
Pont de l’Alma RER station canonical	2
Pont de l'Alma (RER C)	1

Statements (36)

Predicate	Object
instanceOf	RER station ⓘ commuter rail station ⓘ railway station ⓘ
category	RER C stations in Paris ⓘ Railway stations in the 7th arrondissement of Paris ⓘ
connectsTo	Champ de Mars – Tour Eiffel RER station ⓘ Invalides Paris Métro station ⓘ surface form: Invalides RER station Paris Saint-Lazare area via RER C branches ⓘ
country	France ⓘ
electrification	overhead line electrification ⓘ
fareZone	Paris public transport Zone 1 ⓘ surface form: Paris public transport zone 1
hasAbbreviation	Pont de l’Alma ⓘ
hasAccess	street entrances near Pont de l’Alma ⓘ
hasLanguage	French ⓘ
hasNumberOfPlatforms	2 ⓘ
hasNumberOfTracks	2 ⓘ
hasPlatformType	island platform ⓘ
hasSignageLanguage	English ⓘ French ⓘ
hasStructureType	underground station ⓘ
isPartOf	RER C left bank section along the Seine ⓘ
locatedIn	7th arrondissement of Paris ⓘ Paris ⓘ
locatedNear	Pont de l’Alma ⓘ River Seine ⓘ surface form: Seine
nearbyAttraction	Champ de Mars ⓘ surface form: Eiffel Tower area Pont de l’Alma flame monument ⓘ Musée du quai Branly – Jacques Chirac ⓘ surface form: Quai Branly – Jacques Chirac Museum
operatedBy	SNCF ⓘ
ownedBy	SNCF ⓘ
partOfNetwork	RER network ⓘ surface form: Réseau Express Régional (RER) Paris public transport network ⓘ surface form: Île-de-France public transport network
railGauge	standard gauge ⓘ
servedByLine	RER C ⓘ
serves	central Paris ⓘ
ticketSystem	Île-de-France fare system ⓘ surface form: Île-de-France Mobilités fare system

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: Pont de l’Alma RER station
Description of subject: Pont de l’Alma RER station is a commuter rail stop in central Paris serving line C of the RER network near the Pont de l’Alma and the Seine.

Referenced by (3)

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

Pont de l’Alma → hasNearbyTransport → Pont de l’Alma RER station ⓘ

Gare des Invalides → hasAdjacentStation → Pont de l’Alma RER station ⓘ

this entity surface form: Pont de l'Alma (RER C)

Gros-Caillou quarter → nearMetroStation → Pont de l’Alma RER station ⓘ