Queluz-Belas railway station
E481769
Queluz-Belas railway station is a suburban rail station serving the town of Queluz in the Lisbon metropolitan area of Portugal.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Queluz-Belas railway station canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T4939029 — 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: Queluz-Belas railway station Context triple: [Queluz, Portugal, hasRailwayStation, Queluz-Belas railway station]
-
A.
Marco de Canaveses railway station
Marco de Canaveses railway station is a railway terminus in northern Portugal that serves the town of Marco de Canaveses and connects it to the Porto suburban rail network.
-
B.
Taveiro station
Taveiro station is a former name for the Coimbra-B railway station, a key rail hub serving the city of Coimbra in central Portugal.
-
C.
Viau station
Viau station is a Montreal Metro station on the Green Line, serving the Hochelaga-Maisonneuve area and providing access to nearby attractions such as the Olympic Park.
-
D.
Santa Apolónia railway station
Santa Apolónia railway station is one of Lisbon’s main railway termini, serving long-distance, regional, and suburban trains as well as the city’s metro network.
-
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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Queluz-Belas railway station Target entity description: Queluz-Belas railway station is a suburban rail station serving the town of Queluz in the Lisbon metropolitan area of Portugal.
-
A.
Marco de Canaveses railway station
Marco de Canaveses railway station is a railway terminus in northern Portugal that serves the town of Marco de Canaveses and connects it to the Porto suburban rail network.
-
B.
Taveiro station
Taveiro station is a former name for the Coimbra-B railway station, a key rail hub serving the city of Coimbra in central Portugal.
-
C.
Viau station
Viau station is a Montreal Metro station on the Green Line, serving the Hochelaga-Maisonneuve area and providing access to nearby attractions such as the Olympic Park.
-
D.
Santa Apolónia railway station
Santa Apolónia railway station is one of Lisbon’s main railway termini, serving long-distance, regional, and suburban trains as well as the city’s metro network.
-
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 (25)
| Predicate | Object |
|---|---|
| instanceOf |
railway station
ⓘ
suburban railway station ⓘ |
| connectsTo |
Lisbon
ⓘ
Sintra ⓘ |
| country | Portugal ⓘ |
| electrification | 25 kV 50 Hz AC overhead line ⓘ |
| fareZone | Lisbon metropolitan area fare system ⓘ |
| hasLanguage | Portuguese ⓘ |
| hasLocalTransportConnection | bus services ⓘ |
| hasPlatform |
island platform
ⓘ
side platform ⓘ |
| hasService | commuter rail ⓘ |
| hasTracks | multiple tracks ⓘ |
| locatedIn |
Lisbon District
ⓘ
Lisbon metropolitan area ⓘ Portugal ⓘ Queluz ⓘ
linked to:
Queluz, Portugal
|
| operator | Comboios de Portugal ⓘ |
| owner | Infraestruturas de Portugal ⓘ |
| partOfNetwork | Lisbon suburban rail network ⓘ |
| publicTransportMode | rail ⓘ |
| railwayLine |
Sintra Line
ⓘ
linked to:
Linha de Sintra
|
| serves |
Queluz
ⓘ
linked to:
Queluz, Portugal
|
| ticketingSystem | Lisbon intermodal ticketing system ⓘ |
| usedFor | passenger rail transport ⓘ |
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: Queluz-Belas railway station Description of subject: Queluz-Belas railway station is a suburban rail station serving the town of Queluz in the Lisbon metropolitan area of Portugal.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.