Poblenou station
E871721
Poblenou station is a Barcelona Metro stop in the Poblenou neighborhood, serving passengers on the city’s rapid transit network.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Poblenou station canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T10574826 — 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: Poblenou station Context triple: [Line 4 (Barcelona Metro), hasStation, Poblenou station]
-
A.
Můstek station
Můstek station is a major Prague Metro interchange located at the lower end of Wenceslas Square, connecting lines A and B in the city center.
-
B.
Hledan Railway Station
Hledan Railway Station is a local commuter train station in Yangon, Myanmar, serving the Hledan area of Kamayut Township on the Yangon Circular Railway network.
-
C.
Beynes station
Beynes station is a suburban railway station in Beynes, France, served by Paris’ Transilien commuter network.
-
D.
Bryn station
Bryn station is a metro station in Oslo, Norway, on the city’s rapid transit network.
-
E.
Lechmere station
Lechmere station is a Massachusetts Bay Transportation Authority (MBTA) Green Line light rail station serving the East Cambridge neighborhood of Cambridge, Massachusetts.
- 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: Poblenou station Target entity description: Poblenou station is a Barcelona Metro stop in the Poblenou neighborhood, serving passengers on the city’s rapid transit network.
-
A.
Můstek station
Můstek station is a major Prague Metro interchange located at the lower end of Wenceslas Square, connecting lines A and B in the city center.
-
B.
Hledan Railway Station
Hledan Railway Station is a local commuter train station in Yangon, Myanmar, serving the Hledan area of Kamayut Township on the Yangon Circular Railway network.
-
C.
Beynes station
Beynes station is a suburban railway station in Beynes, France, served by Paris’ Transilien commuter network.
-
D.
Bryn station
Bryn station is a metro station in Oslo, Norway, on the city’s rapid transit network.
-
E.
Lechmere station
Lechmere station is a Massachusetts Bay Transportation Authority (MBTA) Green Line light rail station serving the East Cambridge neighborhood of Cambridge, Massachusetts.
- F. None of above. chosen
Statements (26)
| Predicate | Object |
|---|---|
| instanceOf | metro station ⓘ |
| city | Barcelona ⓘ |
| continent | Europe ⓘ |
| country | Spain ⓘ |
| fareZone | 1 ⓘ |
| hasService | passenger transport ⓘ |
| line |
Barcelona Metro line 4
ⓘ
linked to:
Barcelona Metro L4
|
| locatedIn |
Barcelona
ⓘ
Catalonia ⓘ Poblenou ⓘ Sant Martí district ⓘ Spain ⓘ |
| locatedOnStreet | Carrer de Pujades ⓘ |
| neighborhood | Poblenou ⓘ |
| numberOfPlatforms | 2 ⓘ |
| numberOfTracks | 2 ⓘ |
| operator | Transports Metropolitans de Barcelona ⓘ |
| ownedBy | Transports Metropolitans de Barcelona ⓘ |
| partOf | Barcelona Metro ⓘ |
| platformType | side platforms ⓘ |
| region | Catalonia ⓘ |
| serves | Poblenou neighborhood ⓘ |
| servesNetwork |
Barcelona rapid transit network
ⓘ
linked to:
Barcelona Metro
|
| structureType | underground ⓘ |
| symbol | M ⓘ |
| symbolLocation | 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: Poblenou station Description of subject: Poblenou station is a Barcelona Metro stop in the Poblenou neighborhood, serving passengers on the city’s rapid transit network.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.
subject linked to:
Line 4