Penitents station
E886796
Penitents station is a Barcelona Metro stop on the city’s Line 3, serving the Penitents neighborhood in the Gràcia district.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Penitents station canonical | 4 |
How this entity was disambiguated
This entity first appeared as the object of triple T10769650 — 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: Penitents station Context triple: [Line 3 (Barcelona Metro), servesStation, Penitents station]
-
A.
Santa Eugenia station
Santa Eugenia station is a commuter rail station in Madrid, Spain, known for being one of the sites targeted in the 2004 Madrid train bombings.
-
B.
La Cisterna station
La Cisterna station is a major interchange and southern endpoint of Santiago’s metro network, connecting Line 4A with other lines and local transport services.
-
C.
Impulsora station
Impulsora station is a Mexico City Metro station serving the northeastern area of the metropolitan zone on Line B.
-
D.
Moscavide station
Moscavide station is a Lisbon Metro stop on the Red Line serving the Moscavide area near Parque das Nações and Lisbon’s eastern transport links.
-
E.
La Raza station
La Raza station is a major Mexico City Metro interchange known for connecting multiple lines and serving as an important transit hub in the city’s northern area.
- 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: Penitents station Target entity description: Penitents station is a Barcelona Metro stop on the city’s Line 3, serving the Penitents neighborhood in the Gràcia district.
-
A.
Santa Eugenia station
Santa Eugenia station is a commuter rail station in Madrid, Spain, known for being one of the sites targeted in the 2004 Madrid train bombings.
-
B.
La Cisterna station
La Cisterna station is a major interchange and southern endpoint of Santiago’s metro network, connecting Line 4A with other lines and local transport services.
-
C.
Impulsora station
Impulsora station is a Mexico City Metro station serving the northeastern area of the metropolitan zone on Line B.
-
D.
Moscavide station
Moscavide station is a Lisbon Metro stop on the Red Line serving the Moscavide area near Parque das Nações and Lisbon’s eastern transport links.
-
E.
La Raza station
La Raza station is a major Mexico City Metro interchange known for connecting multiple lines and serving as an important transit hub in the city’s northern area.
- F. None of above. chosen
Statements (15)
| Predicate | Object |
|---|---|
| instanceOf |
Barcelona Metro station
ⓘ
metro station ⓘ |
| cityServed | Barcelona ⓘ |
| country | Spain ⓘ |
| fareZone | ATM Àrea Metropolitana de Barcelona Zone 1 ⓘ |
| hasPlatformType | side platforms ⓘ |
| hasStructureType | underground station ⓘ |
| locatedIn |
Barcelona
ⓘ
Catalonia ⓘ Spain ⓘ |
| locatedInDistrict | Gràcia ⓘ |
| network | Barcelona Metro ⓘ |
| operator | Transports Metropolitans de Barcelona ⓘ |
| partOfLine |
Barcelona Metro line 3
ⓘ
linked to:
Barcelona Metro line L3
|
| serves | Penitents neighborhood ⓘ |
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: Penitents station Description of subject: Penitents station is a Barcelona Metro stop on the city’s Line 3, serving the Penitents neighborhood in the Gràcia district.
Referenced by (4)
Full triples — surface form annotated when it differs from this entity's canonical label.