Colombia station
E604809
Colombia station is a Madrid Metro station that serves as a key transfer point between multiple lines in the city's underground network.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Colombia station canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T6556230 — 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: Colombia station Context triple: [Line 8 (Madrid Metro), hasInterchange, Colombia station]
-
A.
Santa Marta station
Santa Marta station is a Mexico City Metro rapid transit stop serving the eastern part of the city on one of its main lines.
-
B.
Angamos station
Angamos station is a passenger stop on Line 1 of the Lima Metro system in Lima, Peru.
-
C.
San Carlos station
San Carlos station is a commuter rail station in San Carlos, California, serving Caltrain passengers on the San Francisco Peninsula.
-
D.
Guadalupe station
Guadalupe station is an elevated rapid transit stop on Manila's MRT Line 3 serving the Guadalupe area in Makati, Philippines.
-
E.
Buenavista station
Buenavista station is a major Mexico City Metro terminal and transport hub located in the Buenavista area, connecting metro services with commuter rail and other transit options.
- 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: Colombia station Target entity description: Colombia station is a Madrid Metro station that serves as a key transfer point between multiple lines in the city's underground network.
-
A.
Santa Marta station
Santa Marta station is a Mexico City Metro rapid transit stop serving the eastern part of the city on one of its main lines.
-
B.
Angamos station
Angamos station is a passenger stop on Line 1 of the Lima Metro system in Lima, Peru.
-
C.
San Carlos station
San Carlos station is a commuter rail station in San Carlos, California, serving Caltrain passengers on the San Francisco Peninsula.
-
D.
Guadalupe station
Guadalupe station is an elevated rapid transit stop on Manila's MRT Line 3 serving the Guadalupe area in Makati, Philippines.
-
E.
Buenavista station
Buenavista station is a major Mexico City Metro terminal and transport hub located in the Buenavista area, connecting metro services with commuter rail and other transit options.
- F. None of above. chosen
Statements (30)
| Predicate | Object |
|---|---|
| instanceOf | Madrid Metro station ⓘ |
| accessible | yes ⓘ |
| country | Spain ⓘ |
| fareZone | A ⓘ |
| hasElectrification | third rail ⓘ |
| hasFunction | interchange station ⓘ |
| hasLanguage | Spanish ⓘ |
| hasLine |
Line 8
ⓘ
Line 9 ⓘ |
| hasPlatformType | island platform ⓘ |
| hasService |
airport access via Line 8
ⓘ
urban rail ⓘ |
| hasSignageLanguage |
English
ⓘ
Spanish ⓘ |
| hasStructureType | underground station ⓘ |
| hasTicketingSystem |
contactless smart card
ⓘ
magnetic stripe ticket ⓘ |
| isPartOfNetwork | Madrid public transport network ⓘ |
| isTransferStation | true ⓘ |
| locatedIn |
Madrid
ⓘ
Spain ⓘ |
| namedAfter | Calle de Colombia ⓘ |
| network | Madrid Metro ⓘ |
| operatedBy |
Metro de Madrid
ⓘ
linked to:
Madrid Metro
|
| ownedBy | Consorcio Regional de Transportes de Madrid ⓘ |
| partOf | Madrid Metro ⓘ |
| publicTransportType | rapid transit ⓘ |
| serves |
Madrid Metro Line 8
ⓘ
linked to:
Line 8 (Madrid Metro)
Madrid Metro Line 9 ⓘ |
| servesCity | Madrid ⓘ |
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: Colombia station Description of subject: Colombia station is a Madrid Metro station that serves as a key transfer point between multiple lines in the city's underground network.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.