Selva de Mar station
E871722
Selva de Mar station is a Barcelona Metro stop in the Sant Martí district that serves the city’s Line 4 (the yellow line).
All labels observed (2)
| Label | Occurrences |
|---|---|
| Selva de Mar station canonical | 2 |
| Selva de Mar tram stop | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T10574827 — 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: Selva de Mar station Context triple: [Line 4 (Barcelona Metro), hasStation, Selva de Mar station]
-
A.
Cabo Ruivo station
Cabo Ruivo station is a Lisbon Metro stop on the Red Line serving the Parque das Nações and eastern Lisbon area.
-
B.
Santa Isabel station
Santa Isabel station is an underground stop on Santiago, Chile’s Metro system, serving Line 5 in the central area of the city.
-
C.
Saldanha station
Saldanha station is a major Lisbon Metro interchange station in central Lisbon, connecting key lines and serving an important commercial and business district.
-
D.
Miramar station
Miramar station is a passenger rail station on the Valparaíso Metro system in Chile, serving the coastal city of Viña del Mar.
-
E.
Salto del Agua station
Salto del Agua station is a Mexico City Metro station located in the historic center, known for serving as a transfer point between multiple lines near the Salto del Agua fountain.
- 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: Selva de Mar station Target entity description: Selva de Mar station is a Barcelona Metro stop in the Sant Martí district that serves the city’s Line 4 (the yellow line).
-
A.
Cabo Ruivo station
Cabo Ruivo station is a Lisbon Metro stop on the Red Line serving the Parque das Nações and eastern Lisbon area.
-
B.
Santa Isabel station
Santa Isabel station is an underground stop on Santiago, Chile’s Metro system, serving Line 5 in the central area of the city.
-
C.
Saldanha station
Saldanha station is a major Lisbon Metro interchange station in central Lisbon, connecting key lines and serving an important commercial and business district.
-
D.
Miramar station
Miramar station is a passenger rail station on the Valparaíso Metro system in Chile, serving the coastal city of Viña del Mar.
-
E.
Salto del Agua station
Salto del Agua station is a Mexico City Metro station located in the historic center, known for serving as a transfer point between multiple lines near the Salto del Agua fountain.
- F. None of above. chosen
Statements (29)
| Predicate | Object |
|---|---|
| instanceOf |
metro station
ⓘ
railway station ⓘ |
| country | Spain ⓘ |
| fareZone | 1 ⓘ |
| hasAccessibility | partial ⓘ |
| hasConnection |
Selva de Mar tram stop
ⓘ
linked to:
Selva de Mar station
Trambesòs ⓘ local bus services ⓘ |
| hasEntranceOn |
Carrer de Pujades
ⓘ
Carrer de Selva de Mar ⓘ |
| hasPlatformType | side platforms ⓘ |
| hasStationCode | L4 ⓘ |
| hasTrackCount | 2 ⓘ |
| lineColor | yellow ⓘ |
| locatedIn |
Barcelona
ⓘ
Catalonia ⓘ Sant Martí district ⓘ Spain ⓘ |
| namedAfter | Carrer de Selva de Mar ⓘ |
| openingYear | 1977 ⓘ |
| operatedBy | Transports Metropolitans de Barcelona ⓘ |
| partOfNetwork | Barcelona Metro ⓘ |
| servesCity | Barcelona ⓘ |
| servesDistrict | Sant Martí ⓘ |
| servesLine |
Barcelona Metro line 4
ⓘ
linked to:
Barcelona Metro L4
|
| servesNeighborhood |
Diagonal Mar i el Front Marítim del Poblenou
ⓘ
El Poblenou ⓘ |
| structureType | underground ⓘ |
| ticketSystem | Autoritat del Transport Metropolità integrated fare system ⓘ |
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: Selva de Mar station Description of subject: Selva de Mar station is a Barcelona Metro stop in the Sant Martí district that serves the city’s Line 4 (the yellow line).
Referenced by (3)
Full triples — surface form annotated when it differs from this entity's canonical label.