SNCF TER
E414215
SNCF TER is the regional rail service of France’s national railway company, providing local passenger train connections across various French regions.
All labels observed (4)
| Label | Occurrences |
|---|---|
| SNCF TER canonical | 8 |
| SNCF TER Nouvelle-Aquitaine | 1 |
| SNCF TER Occitanie | 1 |
| SNCF TER rolling stock | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T4109447 — 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: SNCF TER Context triple: [Gare de Tulle, railwayNetwork, SNCF TER]
-
A.
TGV Réseau trainset
The TGV Réseau trainset is a high-speed electric multiple unit used by the French national railway for long-distance services on the TGV network.
-
B.
TGV Sud-Est trainset
The TGV Sud-Est trainset is the original high-speed electric multiple unit used on France’s pioneering TGV services, known for inaugurating high-speed rail in the country in the early 1980s.
-
C.
SNCF Voyageurs
SNCF Voyageurs is the passenger rail operating division of France’s national railway company, responsible for running high-speed, regional, and commuter train services.
-
D.
SNCF Connect
SNCF Connect is the official digital platform and app of the French national railway company, providing online ticket booking, travel planning, and real-time information for trains and other transport services.
-
E.
TGV Atlantique trainset
The TGV Atlantique trainset is a high-speed French electric multiple unit introduced by SNCF in the late 1980s for services from Paris toward western and southwestern France, once holding the world speed record for rail trains.
- 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: SNCF TER Target entity description: SNCF TER is the regional rail service of France’s national railway company, providing local passenger train connections across various French regions.
-
A.
TGV Réseau trainset
The TGV Réseau trainset is a high-speed electric multiple unit used by the French national railway for long-distance services on the TGV network.
-
B.
TGV Sud-Est trainset
The TGV Sud-Est trainset is the original high-speed electric multiple unit used on France’s pioneering TGV services, known for inaugurating high-speed rail in the country in the early 1980s.
-
C.
SNCF Voyageurs
SNCF Voyageurs is the passenger rail operating division of France’s national railway company, responsible for running high-speed, regional, and commuter train services.
-
D.
SNCF Connect
SNCF Connect is the official digital platform and app of the French national railway company, providing online ticket booking, travel planning, and real-time information for trains and other transport services.
-
E.
TGV Atlantique trainset
The TGV Atlantique trainset is a high-speed French electric multiple unit introduced by SNCF in the late 1980s for services from Paris toward western and southwestern France, once holding the world speed record for rail trains.
- F. None of above. chosen
Statements (49)
| Predicate | Object |
|---|---|
| instanceOf |
public transport service
ⓘ
regional rail service ⓘ |
| additionalModeOfTransport | bus ⓘ |
| areaServed |
Corsica (via TER Corse brand, historically)
ⓘ
linked to:
Chemins de fer de la Corse
French regions ⓘ metropolitan France ⓘ
linked to:
Metropolitan France
|
| country | France ⓘ |
| distinguishesFrom |
Intercités
ⓘ
TGV ⓘ Transilien ⓘ |
| electrification |
1.5 kV DC (on some legacy lines)
ⓘ
25 kV AC (on electrified lines) ⓘ |
| fareIntegration | regional transport authorities in France ⓘ |
| formerName | Transport Express Régional ⓘ |
| fullName | Transport Express Régional ⓘ |
| goal | provide local and regional passenger rail connections ⓘ |
| hasBrand |
TER
ⓘ
TER + region name (e.g., TER Bretagne, TER Occitanie) ⓘ
linked to:
TER Pays de la Loire rail services
|
| hasMobileApp |
SNCF Connect (for information and ticketing)
ⓘ
linked to:
SNCF Connect
|
| inception | 1984 ⓘ |
| language | French ⓘ |
| networkType | regional rail network ⓘ |
| operator | SNCF ⓘ |
| owner |
French state (via SNCF)
ⓘ
linked to:
SNCF
|
| parentOrganization | SNCF Voyageurs ⓘ |
| partOf | French national rail system ⓘ |
| primaryCustomerType |
commuters
ⓘ
regional leisure travelers ⓘ students ⓘ |
| primaryLanguageOfServiceInformation | French ⓘ |
| primaryModeOfTransport | rail ⓘ |
| regulatesBy | French regions (as organizing authorities) ⓘ |
| safetyAuthority | French railway safety regulator ⓘ |
| serviceType |
commuter rail
ⓘ
passenger rail transport ⓘ regional rail ⓘ |
| shortName | TER ⓘ |
| ticketingSystem | SNCF ticketing system ⓘ |
| ticketType |
regional discount passes
ⓘ
season tickets ⓘ single tickets ⓘ |
| trackGauge | standard gauge ⓘ |
| typicalServicePattern |
all-stations stopping services
ⓘ
semi-fast regional services ⓘ |
| usesInfrastructure | SNCF Réseau tracks ⓘ |
| usesRollingStock |
diesel multiple units
ⓘ
electric multiple units ⓘ locomotive-hauled passenger coaches ⓘ |
| website | https://www.sncf.com/fr/ter ⓘ |
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: SNCF TER Description of subject: SNCF TER is the regional rail service of France’s national railway company, providing local passenger train connections across various French regions.
Referenced by (11)
Full triples — surface form annotated when it differs from this entity's canonical label.
linked to: SNCF TER
linked to: SNCF TER
linked to: SNCF TER