T5
E253348
T5 is a tram line of the Trambesòs light rail network serving the Barcelona metropolitan area.
All labels observed (1)
| Label | Occurrences |
|---|---|
| T5 canonical | 2 |
How this entity was disambiguated
This entity first appeared as the object of triple T2302964 — 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: T5 Context triple: [Trambesòs, hasLine, T5]
-
A.
T5
T5 is a major passenger terminal at London Heathrow Airport, primarily serving British Airways and Iberia flights.
-
B.
T5
T5 is a former passenger terminal of Berlin Brandenburg Airport that handled commercial air traffic before being closed to operations.
-
C.
the T
The T is the public transit system serving the Greater Boston area, operated by the Massachusetts Bay Transportation Authority.
-
D.
T3
T3 is one of the tram lines of the Trambaix light rail network serving the Barcelona metropolitan area.
-
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: T5 Target entity description: T5 is a tram line of the Trambesòs light rail network serving the Barcelona metropolitan area.
-
A.
T5
T5 is a major passenger terminal at London Heathrow Airport, primarily serving British Airways and Iberia flights.
-
B.
T5
T5 is a former passenger terminal of Berlin Brandenburg Airport that handled commercial air traffic before being closed to operations.
-
C.
the T
The T is the public transit system serving the Greater Boston area, operated by the Massachusetts Bay Transportation Authority.
-
D.
T3
T3 is one of the tram lines of the Trambaix light rail network serving the Barcelona metropolitan area.
-
E.
T2
T2 is a passenger terminal at Berlin Brandenburg Airport that handles check-in, security, and boarding operations for departing and arriving travelers.
- F. None of above. chosen
Statements (26)
| Predicate | Object |
|---|---|
| instanceOf |
light rail line
ⓘ
tram line ⓘ |
| belongsTo |
Barcelona public transport network
ⓘ
linked to:
Barcelona metropolitan transport network
|
| country | Spain ⓘ |
| electrificationSystem | overhead line ⓘ |
| fareSystem | Autoritat del Transport Metropolità ⓘ |
| fareZoneSystem | ATM Barcelona integrated fare system ⓘ |
| hasAccessibility | step-free access ⓘ |
| hasMode | light rail ⓘ |
| hasRollingStockType | low-floor tram ⓘ |
| isElectrified | yes ⓘ |
| locatedIn |
Barcelona
ⓘ
Catalonia ⓘ Spain ⓘ |
| network |
Trambesòs light rail network
ⓘ
linked to:
TRAM Besòs
|
| operator | TRAM ⓘ |
| partOf | Trambesòs ⓘ |
| publicTransportCategory | urban rail ⓘ |
| region | Metropolitan Area of Barcelona ⓘ |
| serves |
Badalona
ⓘ
Barcelona metropolitan area ⓘ
linked to:
Metropolitan Area of Barcelona
Besòs area ⓘ Sant Adrià de Besòs ⓘ |
| system |
Barcelona tram system
ⓘ
linked to:
Barcelona tram network
|
| transportType | tram ⓘ |
| usesTicketingSystem | integrated ticketing with Barcelona public transport ⓘ |
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: T5 Description of subject: T5 is a tram line of the Trambesòs light rail network serving the Barcelona metropolitan area.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.