Maria Cristina station
E884804
Maria Cristina station is a Barcelona Metro stop located in the Les Corts district, serving passengers on the city's Line 3.
All labels observed (2)
| Label | Occurrences |
|---|---|
| Maria Cristina station canonical | 4 |
| Maria Cristina metro station | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T10769634 — 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: Maria Cristina station Context triple: [Line 3 (Barcelona Metro), servesStation, Maria Cristina station]
-
A.
Carlini Station
Carlini Station is an Argentine Antarctic research base on King George Island, focused on scientific studies of the polar environment and climate.
-
B.
Francisco station
Francisco station is an elevated Chicago 'L' rapid transit stop on the Brown Line located in the city's Ravenswood Manor neighborhood.
-
C.
Bellavista station
Bellavista station is a passenger rail stop on the Valparaíso Metro system serving the coastal city of Valparaíso, Chile.
-
D.
Primos station
Primos station is a commuter rail stop in Pennsylvania serving the SEPTA Regional Rail network.
-
E.
Pío Nono station
Pío Nono station is a lower terminal of Santiago’s historic funicular railway that provides access to San Cristóbal Hill in Chile.
- 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: Maria Cristina station Target entity description: Maria Cristina station is a Barcelona Metro stop located in the Les Corts district, serving passengers on the city's Line 3.
-
A.
Carlini Station
Carlini Station is an Argentine Antarctic research base on King George Island, focused on scientific studies of the polar environment and climate.
-
B.
Francisco station
Francisco station is an elevated Chicago 'L' rapid transit stop on the Brown Line located in the city's Ravenswood Manor neighborhood.
-
C.
Bellavista station
Bellavista station is a passenger rail stop on the Valparaíso Metro system serving the coastal city of Valparaíso, Chile.
-
D.
Primos station
Primos station is a commuter rail stop in Pennsylvania serving the SEPTA Regional Rail network.
-
E.
Pío Nono station
Pío Nono station is a lower terminal of Santiago’s historic funicular railway that provides access to San Cristóbal Hill in Chile.
- F. None of above. chosen
Statements (32)
| Predicate | Object |
|---|---|
| instanceOf |
Barcelona Metro station
ⓘ
metro station ⓘ |
| city | Barcelona ⓘ |
| country | Spain ⓘ |
| fareZone | 1 ⓘ |
| hasAccessibility | yes ⓘ |
| hasConnection |
TMB bus services
ⓘ
Tram lines T1 ⓘ Tram lines T2 ⓘ
linked to:
Tramway line T2
Tram lines T3 ⓘ |
| hasFeature |
electronic information displays
ⓘ
escalators ⓘ lifts ⓘ |
| hasPlatformType | side platforms ⓘ |
| hasTicketing | automatic ticket machines ⓘ |
| lineNumber | 3 ⓘ |
| locatedIn |
Barcelona
ⓘ
Catalonia ⓘ Les Corts district ⓘ Spain ⓘ |
| namedAfter | Avinguda de la Reina Maria Cristina ⓘ |
| numberOfPlatforms | 2 ⓘ |
| numberOfTracks | 2 ⓘ |
| openingYear | 1975 ⓘ |
| operator | Transports Metropolitans de Barcelona ⓘ |
| ownedBy |
Ajuntament de Barcelona
ⓘ
linked to:
City Council of Barcelona
|
| partOfNetwork | Barcelona Metro ⓘ |
| servesArea |
Avinguda Diagonal vicinity
ⓘ
Les Corts commercial area ⓘ |
| servesDistrict | Les Corts ⓘ |
| servesLine |
Barcelona Metro line 3
ⓘ
linked to:
Barcelona Metro line L3
|
| structureType | underground station ⓘ |
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: Maria Cristina station Description of subject: Maria Cristina station is a Barcelona Metro stop located in the Les Corts district, serving passengers on the city's Line 3.
Referenced by (5)
Full triples — surface form annotated when it differs from this entity's canonical label.
subject linked to:
Line 3
subject linked to:
L3
subject linked to:
Green line
linked to: Maria Cristina station