TER (brand)
E754104
TER is a French regional rail service brand operated by SNCF, providing local passenger train connections across various regions of France.
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.