Maragall station
E896443
Maragall station is a Barcelona Metro station serving the Horta-Guinardó district and acting as an interchange point between multiple metro lines.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Maragall station canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T10574824 — 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: Maragall station Context triple: [Line 4 (Barcelona Metro), hasStation, Maragall station]
-
A.
La Sagrera station
La Sagrera station is a major multimodal transport hub in Barcelona that connects several metro lines and commuter rail services in the northeastern part of the city.
-
B.
Martínez Nadal station
Martínez Nadal station is a rapid transit stop on the Tren Urbano system serving the San Juan metropolitan area in Puerto Rico.
-
C.
Santa Eulàlia station
Santa Eulàlia station is a Barcelona Metro stop in the L'Hospitalet de Llobregat area that serves as part of the city’s rapid transit network.
-
D.
Rocafort station
Rocafort station is an underground Barcelona Metro stop in the Eixample district, serving passengers on Line 1.
-
E.
Pedrero station
Pedrero station is a Santiago Metro stop in Chile located near the Estadio Monumental, serving passengers on the city’s Line 5.
- 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: Maragall station Target entity description: Maragall station is a Barcelona Metro station serving the Horta-Guinardó district and acting as an interchange point between multiple metro lines.
-
A.
La Sagrera station
La Sagrera station is a major multimodal transport hub in Barcelona that connects several metro lines and commuter rail services in the northeastern part of the city.
-
B.
Martínez Nadal station
Martínez Nadal station is a rapid transit stop on the Tren Urbano system serving the San Juan metropolitan area in Puerto Rico.
-
C.
Santa Eulàlia station
Santa Eulàlia station is a Barcelona Metro stop in the L'Hospitalet de Llobregat area that serves as part of the city’s rapid transit network.
-
D.
Rocafort station
Rocafort station is an underground Barcelona Metro stop in the Eixample district, serving passengers on Line 1.
-
E.
Pedrero station
Pedrero station is a Santiago Metro stop in Chile located near the Estadio Monumental, serving passengers on the city’s Line 5.
- F. None of above. chosen
Statements (32)
| Predicate | Object |
|---|---|
| instanceOf |
Barcelona Metro station
ⓘ
underground railway station ⓘ |
| city | Barcelona ⓘ |
| connectsLine |
Barcelona Metro line L4
NERFINISHED
ⓘ
Barcelona Metro line L5 NERFINISHED ⓘ |
| country | Spain ⓘ |
| fareZone | ATM fare zone 1 ⓘ |
| hasAccessibility | partial ⓘ |
| hasElectrification | third rail ⓘ |
| hasEntrances | multiple street entrances ⓘ |
| hasPlatformType | side platforms ⓘ |
| hasSignageLanguage |
Catalan
ⓘ
Spanish ⓘ |
| hasStationCode |
L4 Maragall
NERFINISHED
ⓘ
L5 Maragall NERFINISHED ⓘ |
| hasStructure | underground ⓘ |
| hasTicketHall | yes ⓘ |
| hasTracks | 2 ⓘ |
| isInterchangeStation | true ⓘ |
| locatedIn |
Barcelona
ⓘ
Horta-Guinardó district NERFINISHED ⓘ |
| locatedInContinent | Europe ⓘ |
| locatedInRegion | Catalonia NERFINISHED ⓘ |
| networkType | rapid transit ⓘ |
| operatedBy | Transports Metropolitans de Barcelona NERFINISHED ⓘ |
| ownedBy | Transports Metropolitans de Barcelona NERFINISHED ⓘ |
| partOfNetwork | Barcelona Metro NERFINISHED ⓘ |
| serves | Horta-Guinardó district NERFINISHED ⓘ |
| servesAs | interchange between L4 and L5 ⓘ |
| servesNeighborhood |
Guinardó
NERFINISHED
ⓘ
Horta NERFINISHED ⓘ |
| ticketSystem | integrated fare system of Barcelona ⓘ |
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: Maragall station Description of subject: Maragall station is a Barcelona Metro station serving the Horta-Guinardó district and acting as an interchange point between multiple metro lines.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.
subject surface form:
Line 4 (Barcelona Metro)