Madrid Chamartín railway station
E145156
Madrid Chamartín railway station is one of Madrid’s main rail hubs, serving long-distance, high-speed, and commuter trains and connecting the city with numerous national and regional destinations.
All labels observed (5)
| Label | Occurrences |
|---|---|
| Chamartín railway station | 3 |
| Madrid Chamartín railway station canonical | 3 |
| Madrid Chamartín Cercanías | 1 |
| Madrid Chamartín-Clara Campoamor railway station | 1 |
| Madrid commuter rail at Chamartín | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T1235999 — 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.
Target entity: Madrid Chamartín railway station Context triple: [Cercanías Madrid, secondaryHub, Madrid Chamartín railway station]
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A.
Madrid Atocha railway station
Madrid Atocha railway station is the largest and one of the busiest train stations in Madrid, serving as a central hub for high-speed, regional, and commuter rail services across Spain.
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B.
Auditorio metro station
Auditorio metro station is a Mexico City Metro station on Line 7 that serves the Polanco and Chapultepec area, providing access to major cultural venues such as the National Auditorium and the National Museum of Anthropology.
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C.
Madrid Metro
Madrid Metro is the extensive rapid transit system serving Spain’s capital, known for its large network, frequent service, and role as a primary mode of urban transportation.
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D.
Valladolid-Campo Grande railway station
Valladolid-Campo Grande railway station is the main rail hub in Valladolid, Spain, serving regional, long-distance, and high-speed train services.
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E.
Príncipe Pío station
Príncipe Pío station is a major intermodal transport hub in Madrid, Spain, combining commuter rail, metro, and bus services in a historic former railway terminal.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Target entity: Madrid Chamartín railway station Target entity description: Madrid Chamartín railway station is one of Madrid’s main rail hubs, serving long-distance, high-speed, and commuter trains and connecting the city with numerous national and regional destinations.
-
A.
Madrid Atocha railway station
Madrid Atocha railway station is the largest and one of the busiest train stations in Madrid, serving as a central hub for high-speed, regional, and commuter rail services across Spain.
-
B.
Auditorio metro station
Auditorio metro station is a Mexico City Metro station on Line 7 that serves the Polanco and Chapultepec area, providing access to major cultural venues such as the National Auditorium and the National Museum of Anthropology.
-
C.
Madrid Metro
Madrid Metro is the extensive rapid transit system serving Spain’s capital, known for its large network, frequent service, and role as a primary mode of urban transportation.
-
D.
Valladolid-Campo Grande railway station
Valladolid-Campo Grande railway station is the main rail hub in Valladolid, Spain, serving regional, long-distance, and high-speed train services.
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E.
Príncipe Pío station
Príncipe Pío station is a major intermodal transport hub in Madrid, Spain, combining commuter rail, metro, and bus services in a historic former railway terminal.
- F. None of above. chosen
Statements (49)
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.
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.
Subject: Madrid Chamartín railway station Description of subject: Madrid Chamartín railway station is one of Madrid’s main rail hubs, serving long-distance, high-speed, and commuter trains and connecting the city with numerous national and regional destinations.
Referenced by (9)
Full triples — surface form annotated when it differs from this entity's canonical label.