TER (brand)

E754104

TER is a French regional rail service brand operated by SNCF, providing local passenger train connections across various regions of France.

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All labels observed (1)

Label Occurrences
TER (brand) canonical 1

Statements (49)

Predicate Object
instanceOf passenger rail transport service
regional rail service brand
abbreviationOf Transport Express Régional NERFINISHED
brandingScope regional train services excluding high-speed TGV services
brandLanguage French
brandOf SNCF regional rail services NERFINISHED
competesWith regional coach services
country France
environmentalRole promotion of low-carbon regional mobility
fareSystem regionally managed fares within national framework
fullName Transport Express Régional NERFINISHED
hasSubBrand TER Aquitaine NERFINISHED
TER Auvergne-Rhône-Alpes NERFINISHED
TER Bourgogne-Franche-Comté NERFINISHED
TER Bretagne NERFINISHED
TER Centre-Val de Loire NERFINISHED
TER Grand Est NERFINISHED
TER Hauts-de-France NERFINISHED
TER Métrolor NERFINISHED
TER Normandie NERFINISHED
TER Nouvelle-Aquitaine NERFINISHED
TER Occitanie NERFINISHED
TER Pays de la Loire NERFINISHED
TER Provence-Alpes-Côte d’Azur NERFINISHED
TER Sud Nouvelle-Aquitaine NERFINISHED
introducedBy SNCF NERFINISHED
modeOfTransport rail
networkType passenger rail network
operator SNCF NERFINISHED
owner SNCF NERFINISHED
parentOrganization SNCF Voyageurs NERFINISHED
primaryFunction local mobility
regional passenger transport
regulatoryContext public service obligation contracts
serviceArea French regions
metropolitan France NERFINISHED
serviceLevel frequent regional services
servicePattern semi-fast regional services
stopping services
serviceType local passenger train service
regional rail
targetUsers commuters
regional travelers
students
ticketIntegration SNCF national ticketing system
typicalRollingStock bi-mode multiple units
diesel multiple units
electric multiple units
usesInfrastructureOf SNCF Réseau 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: TER (brand)
Description of subject: TER is a French regional rail service brand operated by SNCF, providing local passenger train connections across various regions of France.

Referenced by (1)

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