Marina station
E871695
Marina station is a Barcelona Metro stop in the Eixample district serving Line 1 and providing access to nearby residential and commercial areas.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Marina station canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T10574716 — 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: Marina station Context triple: [Line 1 (Barcelona Metro), hasStation, Marina station]
-
A.
Vasileostrovskaya station
Vasileostrovskaya station is an underground metro station in Saint Petersburg, Russia, serving the Vasileostrovsky District on the city’s Green Line.
-
B.
Molodyozhnaya Station
Molodyozhnaya Station is a Soviet-era Antarctic research base on the coast of Queen Maud Land, used primarily for scientific studies in fields such as glaciology, meteorology, and geophysics.
-
C.
Olkhovaya station
Olkhovaya station is a station on the Sokolnicheskaya Line of the Moscow Metro, serving passengers in the southeastern part of the city.
-
D.
Straumsnes Station
Straumsnes Station is a railway stop located along Norway’s Ofoten Line, which connects the port city of Narvik to the Swedish border.
-
E.
Leningradskaya Station
Leningradskaya Station is a Russian research base in Antarctica used for scientific studies in fields such as glaciology, meteorology, and geophysics.
- 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: Marina station Target entity description: Marina station is a Barcelona Metro stop in the Eixample district serving Line 1 and providing access to nearby residential and commercial areas.
-
A.
Vasileostrovskaya station
Vasileostrovskaya station is an underground metro station in Saint Petersburg, Russia, serving the Vasileostrovsky District on the city’s Green Line.
-
B.
Molodyozhnaya Station
Molodyozhnaya Station is a Soviet-era Antarctic research base on the coast of Queen Maud Land, used primarily for scientific studies in fields such as glaciology, meteorology, and geophysics.
-
C.
Olkhovaya station
Olkhovaya station is a station on the Sokolnicheskaya Line of the Moscow Metro, serving passengers in the southeastern part of the city.
-
D.
Straumsnes Station
Straumsnes Station is a railway stop located along Norway’s Ofoten Line, which connects the port city of Narvik to the Swedish border.
-
E.
Leningradskaya Station
Leningradskaya Station is a Russian research base in Antarctica used for scientific studies in fields such as glaciology, meteorology, and geophysics.
- F. None of above. chosen
Statements (25)
| Predicate | Object |
|---|---|
| instanceOf | Barcelona Metro station ⓘ |
| city | Barcelona ⓘ |
| country | Spain ⓘ |
| district | Eixample NERFINISHED ⓘ |
| fareSystem | Autoritat del Transport Metropolità integrated fare system ⓘ |
| hasAccessType | street entrances ⓘ |
| hasFunction | public transport stop ⓘ |
| hasNameOrigin | Marina street area ⓘ |
| hasPlatformType | underground platforms ⓘ |
| isPartOf | Barcelona urban rail infrastructure ⓘ |
| locatedIn |
Barcelona
ⓘ
Catalonia ⓘ Eixample district NERFINISHED ⓘ Spain ⓘ |
| metroSystem | Barcelona Metro NERFINISHED ⓘ |
| networkZone | Barcelona metropolitan area NERFINISHED ⓘ |
| operator | Transports Metropolitans de Barcelona NERFINISHED ⓘ |
| partOf | Barcelona Metro line 1 network NERFINISHED ⓘ |
| providesAccessTo |
nearby commercial areas
ⓘ
nearby residential areas ⓘ |
| publicTransportType | rapid transit station ⓘ |
| servedByLine | Barcelona Metro line 1 NERFINISHED ⓘ |
| serves |
Eixample neighbourhoods
ⓘ
local commuters ⓘ |
| transportMode | metro ⓘ |
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: Marina station Description of subject: Marina station is a Barcelona Metro stop in the Eixample district serving Line 1 and providing access to nearby residential and commercial areas.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.
subject surface form:
Line 1 (Barcelona Metro)