TER 2N NG
E857620
TER 2N NG is a type of double-deck regional electric multiple unit train used by the French national railway for suburban and regional services.
All labels observed (1)
| Label | Occurrences |
|---|---|
| TER 2N NG canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T10331304 — 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 2N NG Context triple: [TER Auvergne-Rhône-Alpes services, usesRollingStockModel, TER 2N NG]
-
A.
T2
T2 is a passenger terminal at Berlin Brandenburg Airport that handles check-in, security, and boarding operations for departing and arriving travelers.
-
B.
T2
T2 is the second passenger terminal at Chicago O'Hare International Airport, serving various domestic and regional airline operations.
-
C.
T2
T2 is a Sydney Trains suburban rail service designation used for the Inner West & Leppington Line in the Sydney metropolitan network.
-
D.
T2
T2 is a shorthand title for the 1991 science fiction action film "Terminator 2: Judgment Day," directed by James Cameron and starring Arnold Schwarzenegger.
-
E.
T2
T2 is San Francisco International Airport’s Terminal 2, a modern passenger terminal serving domestic flights with updated amenities and design.
- 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 2N NG Target entity description: TER 2N NG is a type of double-deck regional electric multiple unit train used by the French national railway for suburban and regional services.
-
A.
T2
T2 is the second passenger terminal at Chicago O'Hare International Airport, serving various domestic and regional airline operations.
-
B.
T2
T2 is a passenger terminal at Berlin Brandenburg Airport that handles check-in, security, and boarding operations for departing and arriving travelers.
-
C.
T2
T2 is a Sydney Trains suburban rail service designation used for the Inner West & Leppington Line in the Sydney metropolitan network.
-
D.
T2
T2 is a shorthand title for the 1991 science fiction action film "Terminator 2: Judgment Day," directed by James Cameron and starring Arnold Schwarzenegger.
-
E.
T2
T2 is San Francisco International Airport’s Terminal 2, a modern passenger terminal serving domestic flights with updated amenities and design.
- F. None of above. chosen
Statements (30)
| Predicate | Object |
|---|---|
| instanceOf |
double-deck train
ⓘ
electric multiple unit ⓘ regional train ⓘ suburban train ⓘ |
| belongsTo | TER rolling stock fleet ⓘ |
| category | rolling stock ⓘ |
| country | France ⓘ |
| deckConfiguration | double-deck ⓘ |
| designedFor |
high-capacity commuter traffic
ⓘ
regional passenger traffic ⓘ |
| doorConfiguration | multiple side doors for rapid boarding ⓘ |
| multipleUnitType | EMU ⓘ |
| operatingCountry | France ⓘ |
| operator |
SNCF
ⓘ
TER ⓘ |
| owner | SNCF ⓘ |
| passengerLevel |
lower deck
ⓘ
upper deck ⓘ |
| powerSupply | electric ⓘ |
| propulsion | electric traction ⓘ |
| railwayNetwork |
SNCF network
ⓘ
linked to:
SNCF Réseau
|
| serviceArea | French regions ⓘ |
| servicePattern |
semi-fast regional services
ⓘ
stopping services ⓘ |
| serviceType | passenger ⓘ |
| trackGauge | standard gauge ⓘ |
| usedFor |
regional services
ⓘ
suburban services ⓘ |
| usedOn |
regional lines in France
ⓘ
suburban lines in France ⓘ |
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 2N NG Description of subject: TER 2N NG is a type of double-deck regional electric multiple unit train used by the French national railway for suburban and regional services.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.