Régua railway station
E789639
Régua railway station is a key railway stop in northern Portugal, serving the town of Peso da Régua and acting as an important gateway to the Douro Valley wine region.
All labels observed (2)
| Label | Occurrences |
|---|---|
| Régua railway station canonical | 2 |
| Peso da Régua railway station | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T9299739 — 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: Régua railway station Context triple: [Peso da Régua, hasRailwayStation, Régua railway station]
-
A.
Trang railway station
Trang railway station is the main railway hub serving the town and province of Trang in southern Thailand, connecting the region to the national rail network.
-
B.
Bro railway station
Bro railway station is a local commuter rail stop in Bro, Sweden, serving as part of the Stockholm commuter rail network.
-
C.
Basmane railway station
Basmane railway station is a historic central train terminal in İzmir, Turkey, serving as a major hub for regional and intercity rail services.
-
D.
Nilai railway station
Nilai railway station is a commuter rail station in Nilai, Negeri Sembilan, Malaysia, serving as a key stop on the KTM Komuter Seremban Line and a transit point for access to nearby educational institutions and Kuala Lumpur International Airport.
-
E.
Rai railway station
Rai railway station is a local rail stop in Amsterdam that primarily serves the RAI convention and exhibition center and its surrounding business district.
- 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: Régua railway station Target entity description: Régua railway station is a key railway stop in northern Portugal, serving the town of Peso da Régua and acting as an important gateway to the Douro Valley wine region.
-
A.
Trang railway station
Trang railway station is the main railway hub serving the town and province of Trang in southern Thailand, connecting the region to the national rail network.
-
B.
Bro railway station
Bro railway station is a local commuter rail stop in Bro, Sweden, serving as part of the Stockholm commuter rail network.
-
C.
Basmane railway station
Basmane railway station is a historic central train terminal in İzmir, Turkey, serving as a major hub for regional and intercity rail services.
-
D.
Nilai railway station
Nilai railway station is a commuter rail station in Nilai, Negeri Sembilan, Malaysia, serving as a key stop on the KTM Komuter Seremban Line and a transit point for access to nearby educational institutions and Kuala Lumpur International Airport.
-
E.
Rai railway station
Rai railway station is a local rail stop in Amsterdam that primarily serves the RAI convention and exhibition center and its surrounding business district.
- F. None of above. chosen
Statements (45)
| Predicate | Object |
|---|---|
| instanceOf | railway station ⓘ |
| accessibleTo |
local residents
ⓘ
tourists ⓘ |
| adjacentTo | Peso da Régua riverside area ⓘ |
| connectsTo |
Linha do Douro destinations
ⓘ
Pinhão ⓘ Pocinho ⓘ Porto ⓘ |
| country | Portugal ⓘ |
| hasCategory |
Railway stations in Northern Portugal
ⓘ
Railway stations in Vila Real District ⓘ |
| hasConnection | regional bus services (nearby) ⓘ |
| hasFunction |
passenger transport
ⓘ
regional transport hub ⓘ tourist gateway to Douro Valley ⓘ |
| hasLanguage | Portuguese ⓘ |
| hasNearbyAttraction |
Douro River
ⓘ
Douro wine estates ⓘ Peso da Régua town centre ⓘ |
| hasNearbyFacility |
Douro Museum (Peso da Régua)
ⓘ
linked to:
Douro Museum
|
| hasRole | regional rail hub for Douro Valley ⓘ |
| hasService |
passenger ticketing
ⓘ
tourist information (seasonal or nearby) ⓘ waiting areas ⓘ |
| hasSignageLanguage |
English
ⓘ
Portuguese ⓘ |
| hasTransportMode | rail ⓘ |
| hasView |
Douro River valley
ⓘ
linked to:
Douro River
|
| importance |
important gateway to Douro Valley wine region
ⓘ
key stop on Douro line ⓘ |
| isOnLine | Douro line ⓘ |
| locatedIn | Peso da Régua ⓘ |
| locatedInRegion |
Douro
ⓘ
linked to:
Douro River
Northern Portugal ⓘ
linked to:
northern Portugal
|
| near |
Douro vineyards
ⓘ
Peso da Régua riverfront promenade ⓘ |
| operatedBy | Comboios de Portugal ⓘ |
| ownedBy | Infraestruturas de Portugal ⓘ |
| partOf |
Portuguese railway network
ⓘ
linked to:
Portuguese national rail network
|
| railGauge | Iberian gauge ⓘ |
| serves |
Douro Valley wine region
ⓘ
linked to:
Douro Demarcated Region
Peso da Régua ⓘ |
| usedFor |
longer-distance services along Douro line
ⓘ
regional commuter services ⓘ tourist trains ⓘ |
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: Régua railway station Description of subject: Régua railway station is a key railway stop in northern Portugal, serving the town of Peso da Régua and acting as an important gateway to the Douro Valley wine region.
Referenced by (3)
Full triples — surface form annotated when it differs from this entity's canonical label.