TER
E41185
TER is a network of regional express trains in France that provides local passenger rail services across various regions.
All labels observed (1)
| Label | Occurrences |
|---|---|
| TER canonical | 38 |
How this entity was disambiguated
This entity first appeared as the object of triple T319051 — 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: TER Context triple: [Gare Montparnasse, railService, TER]
-
A.
TR
TR is the two-letter ISO 3166-1 alpha-2 country code assigned to Turkey for international standardization and referencing.
-
B.
TW
TW is the two-letter ISO 3166 country code assigned to Taiwan (commonly referred to as Chinese Taipei in certain international contexts).
-
C.
TH
TH is the two-letter ISO 3166-1 alpha-2 country code assigned to Thailand for international standardization and identification.
-
D.
the T
The T is the public transit system serving the Greater Boston area, operated by the Massachusetts Bay Transportation Authority.
-
E.
TC
TC is the standard abbreviation for the IEEE Transactions on Computers, a leading peer-reviewed journal covering research in computer science and engineering.
- 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: TER Target entity description: TER is a network of regional express trains in France that provides local passenger rail services across various regions.
-
A.
TR
TR is the two-letter ISO 3166-1 alpha-2 country code assigned to Turkey for international standardization and referencing.
-
B.
TW
TW is the two-letter ISO 3166 country code assigned to Taiwan (commonly referred to as Chinese Taipei in certain international contexts).
-
C.
TH
TH is the two-letter ISO 3166-1 alpha-2 country code assigned to Thailand for international standardization and identification.
-
D.
the T
The T is the public transit system serving the Greater Boston area, operated by the Massachusetts Bay Transportation Authority.
-
E.
TC
TC is the standard abbreviation for the IEEE Transactions on Computers, a leading peer-reviewed journal covering research in computer science and engineering.
- F. None of above. chosen
Statements (49)
| Predicate | Object |
|---|---|
| instanceOf |
passenger rail service
ⓘ
public transport service ⓘ regional rail network ⓘ |
| brandingLanguage | French ⓘ |
| connectsWith |
French regional bus networks
ⓘ
French tram networks ⓘ Intercités ⓘ TGV ⓘ
linked to:
TGV high-speed rail
Transilien ⓘ urban metro systems in France ⓘ |
| country | France ⓘ |
| electrification | partially electrified network ⓘ |
| fareSystem | regional fares set by French regions ⓘ |
| fullName | Transport Express Régional ⓘ |
| governingBody |
French regional councils
ⓘ
SNCF Voyageurs ⓘ |
| hasSubclass |
TER Auvergne-Rhône-Alpes
ⓘ
linked to:
Auvergne-Rhône-Alpes region
TER Bourgogne-Franche-Comté ⓘ TER Bretagne ⓘ TER Centre-Val de Loire ⓘ
linked to:
Centre-Val de Loire
TER Grand Est ⓘ
linked to:
TER Grand Est services
TER Hauts-de-France ⓘ
linked to:
Hauts-de-France
TER Normandie ⓘ TER Nouvelle-Aquitaine ⓘ TER Occitanie ⓘ
linked to:
Occitanie
TER Pays de la Loire ⓘ
linked to:
Pays de la Loire
TER Provence-Alpes-Côte d’Azur ⓘ
linked to:
Provence-Alpes-Côte d’Azur
TER Île-de-France (Transilien-related regional services) ⓘ
linked to:
Transilien
|
| introducedBy | SNCF ⓘ |
| operator | SNCF ⓘ |
| ownerOfInfrastructure | SNCF Réseau ⓘ |
| purpose |
intercity connections within regions
ⓘ
local mobility ⓘ regional passenger transport ⓘ |
| rollingStockType |
bi-mode multiple units
ⓘ
diesel multiple units ⓘ electric multiple units ⓘ |
| serviceArea |
French regions
ⓘ
metropolitan France ⓘ
linked to:
Metropolitan France
rural areas in France ⓘ small and medium-sized French cities ⓘ suburban areas in France ⓘ |
| serviceType |
local passenger rail
ⓘ
regional train ⓘ |
| ticketIntegration | integrated with some regional transport networks ⓘ |
| trackGauge | standard gauge ⓘ |
| typicalUse |
daily commuting
ⓘ
regional tourism travel ⓘ school and university travel ⓘ |
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 Description of subject: TER is a network of regional express trains in France that provides local passenger rail services across various regions.
Referenced by (38)
Full triples — surface form annotated when it differs from this entity's canonical label.