TramBaix
E871767
TramBaix is a tram network serving the Baix Llobregat area of the Barcelona metropolitan region in Catalonia, Spain.
All labels observed (2)
How this entity was disambiguated
This entity first appeared as the object of triple T10575139 — 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: TramBaix Context triple: [T-casual, usableOn, TramBaix]
-
A.
TRAM Besòs
TRAM Besòs is a modern tram network serving the Besòs area of Barcelona and its metropolitan surroundings as part of the city’s light rail system.
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B.
Trambesòs
Trambesòs is a modern tram network serving Barcelona’s northeastern metropolitan area, connecting the city with nearby coastal and suburban districts.
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C.
Berguedà
Berguedà is a mountainous comarca in central Catalonia, Spain, known for its Pyrenean landscapes, rural villages, and natural parks.
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D.
Camí de Quart
Camí de Quart is a historic road that connected the city of Valencia with the nearby town of Quart de Poblet in Spain.
-
E.
El Prat de Llobregat
El Prat de Llobregat is a municipality in the metropolitan area of Barcelona, Catalonia, known for hosting the city's main international airport.
- 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: TramBaix Target entity description: TramBaix is a tram network serving the Baix Llobregat area of the Barcelona metropolitan region in Catalonia, Spain.
-
A.
TRAM Besòs
TRAM Besòs is a modern tram network serving the Besòs area of Barcelona and its metropolitan surroundings as part of the city’s light rail system.
-
B.
Trambesòs
Trambesòs is a modern tram network serving Barcelona’s northeastern metropolitan area, connecting the city with nearby coastal and suburban districts.
-
C.
Berguedà
Berguedà is a mountainous comarca in central Catalonia, Spain, known for its Pyrenean landscapes, rural villages, and natural parks.
-
D.
Camí de Quart
Camí de Quart is a historic road that connected the city of Valencia with the nearby town of Quart de Poblet in Spain.
-
E.
El Prat de Llobregat
El Prat de Llobregat is a municipality in the metropolitan area of Barcelona, Catalonia, known for hosting the city's main international airport.
- F. None of above. chosen
Statements (35)
| Predicate | Object |
|---|---|
| instanceOf | tram network ⓘ |
| cityServed |
Barcelona
NERFINISHED
ⓘ
Cornellà de Llobregat NERFINISHED ⓘ Esplugues de Llobregat NERFINISHED ⓘ Sant Boi de Llobregat NERFINISHED ⓘ Sant Feliu de Llobregat NERFINISHED ⓘ Sant Joan Despí NERFINISHED ⓘ Sant Just Desvern NERFINISHED ⓘ |
| country | Spain ⓘ |
| electrification | overhead line ⓘ |
| fareIntegration | integrated with Barcelona public transport ⓘ |
| fareSystem | Autoritat del Transport Metropolità NERFINISHED ⓘ |
| fareZoneSystem | ATM Barcelona integrated fare system ⓘ |
| hasLine |
T1
NERFINISHED
ⓘ
T2 NERFINISHED ⓘ T3 NERFINISHED ⓘ |
| hasRollingStock | Alstom Citadis trams NERFINISHED ⓘ |
| locatedIn |
Baix Llobregat
NERFINISHED
ⓘ
Barcelona metropolitan area NERFINISHED ⓘ Catalonia ⓘ |
| openingDate | 2004 ⓘ |
| operator | TRAM NERFINISHED ⓘ |
| partOf |
Barcelona metropolitan transport network
NERFINISHED
ⓘ
Barcelona tram system NERFINISHED ⓘ |
| primaryUse | urban and suburban passenger transport ⓘ |
| regionServed |
Baix Llobregat
NERFINISHED
ⓘ
Barcelona metropolitan region NERFINISHED ⓘ |
| serviceFrequency | high-frequency urban service ⓘ |
| terminus |
Bon Viatge
NERFINISHED
ⓘ
Plaça Francesc Macià NERFINISHED ⓘ Sant Feliu | Consell Comarcal NERFINISHED ⓘ Sant Martí de l’Erm NERFINISHED ⓘ |
| trackGauge | standard gauge ⓘ |
| transportType | tram ⓘ |
| website | https://www.tram.cat ⓘ |
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: TramBaix Description of subject: TramBaix is a tram network serving the Baix Llobregat area of the Barcelona metropolitan region in Catalonia, Spain.
Referenced by (3)
Full triples — surface form annotated when it differs from this entity's canonical label.
this entity surface form:
TRAM Baix