T2
E249595
T2 is one of the tram lines of the Trambaix light rail network serving the Barcelona metropolitan area.
All labels observed (1)
| Label | Occurrences |
|---|---|
| T2 canonical | 5 |
How this entity was disambiguated
This entity first appeared as the object of triple T2280493 — 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: T2 Context triple: [Trambaix, hasLine, T2]
-
A.
T2
T2 is San Francisco International Airport’s Terminal 2, a modern passenger terminal serving domestic flights with updated amenities and design.
-
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.
the T
The T is the public transit system serving the Greater Boston area, operated by the Massachusetts Bay Transportation Authority.
-
D.
S2
S2 is a line of Berlin's S-Bahn rapid transit network that connects northern and southern suburbs through the city center.
-
E.
T5
T5 is a major passenger terminal at London Heathrow Airport, primarily serving British Airways and Iberia flights.
- 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: T2 Target entity description: T2 is one of the tram lines of the Trambaix light rail network serving the Barcelona metropolitan area.
-
A.
T2
T2 is San Francisco International Airport’s Terminal 2, a modern passenger terminal serving domestic flights with updated amenities and design.
-
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.
the T
The T is the public transit system serving the Greater Boston area, operated by the Massachusetts Bay Transportation Authority.
-
D.
S2
S2 is a line of Berlin's S-Bahn rapid transit network that connects northern and southern suburbs through the city center.
-
E.
T5
T5 is a major passenger terminal at London Heathrow Airport, primarily serving British Airways and Iberia flights.
- F. None of above. chosen
Statements (28)
| Predicate | Object |
|---|---|
| instanceOf |
public transport route
ⓘ
tram line ⓘ |
| country | Spain ⓘ |
| currencyOfFares | euro ⓘ |
| fareSystem |
Autoritat del Transport Metropolità (ATM) Barcelona
ⓘ
linked to:
Autoritat del Transport Metropolità
|
| fareZoneSystem | ATM Barcelona fare zones ⓘ |
| hasAccessibility | step-free access ⓘ |
| hasLineCode | T2 ⓘ |
| hasRollingStockType | low-floor tram ⓘ |
| hasRouteType | surface rail ⓘ |
| hasServiceType |
light rail transit
ⓘ
urban transit ⓘ |
| hasTicketIntegrationWith |
Barcelona Metro
ⓘ
FGC (Ferrocarrils de la Generalitat de Catalunya) ⓘ
linked to:
Ferrocarrils de la Generalitat de Catalunya
Rodalies de Catalunya ⓘ |
| isElectrified | yes ⓘ |
| isInNetwork | Barcelona public transport system ⓘ |
| locatedIn |
Barcelona
ⓘ
Catalonia ⓘ Spain ⓘ |
| networkType | light rail ⓘ |
| operatedBy | TRAM ⓘ |
| partOf |
Barcelona tram network
ⓘ
Trambaix ⓘ |
| region | Catalonia ⓘ |
| serves |
Barcelona metropolitan area
ⓘ
linked to:
Metropolitan Area of Barcelona
|
| transportMode | tram ⓘ |
| usesSystem |
Trambaix light rail network
ⓘ
linked to:
TRAM Besòs
|
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: T2 Description of subject: T2 is one of the tram lines of the Trambaix light rail network serving the Barcelona metropolitan area.
Referenced by (5)
Full triples — surface form annotated when it differs from this entity's canonical label.