Nagyvárad tér
E350615
Nagyvárad tér is a metro station in Budapest that serves the city’s public transportation network on one of its main lines.
All labels observed (2)
| Label | Occurrences |
|---|---|
| Nagyvárad tér canonical | 3 |
| Nagyvárad tér square | 1 |
Statements (31)
| Predicate | Object |
|---|---|
| instanceOf |
metro station
ⓘ
rapid transit station ⓘ |
| continent | Europe ⓘ |
| coordinateLocation | 47.476°N 19.094°E ⓘ |
| country | Hungary ⓘ |
| depthBelowSurface | 7 m ⓘ |
| fareZone | Budapest inner zone ⓘ |
| hasConnection |
Buses
ⓘ
Trams ⓘ Trolleybuses ⓘ |
| hasElectrificationSystem | 750 V DC third rail ⓘ |
| hasRefurbishment | M3 line reconstruction project ⓘ |
| hasStationCode | Nv ⓘ |
| isOnTransportCorridor |
Budapest Metro Line 2
ⓘ
surface form:
North–south metro corridor of Budapest
|
| languageOfName | Hungarian ⓘ |
| locatedIn | Budapest ⓘ |
| locatedInAdministrativeTerritory | Budapest 9th District ⓘ |
| locatedNear |
Semmelweis University
ⓘ
surface form:
Clinical Center of Semmelweis University
Népliget area ⓘ Semmelweis University ⓘ |
| namedAfter |
Nagyvárad tér
self-linksurface differs
ⓘ
surface form:
Nagyvárad tér square
|
| numberOfPlatforms | 1 ⓘ |
| numberOfTracks | 2 ⓘ |
| openingDate | 1976-12-31 ⓘ |
| partOf | Budapest Metro ⓘ |
| partOfLine |
Budapest Metro Line 3
ⓘ
surface form:
M3 (Budapest Metro)
|
| platformType | island platform ⓘ |
| publicTransportSystem |
Budapesti Közlekedési Vállalat
ⓘ
surface form:
Budapesti Közlekedési Központ
|
| serves | public transportation network of Budapest ⓘ |
| servesAs | urban transit node ⓘ |
| structureType | underground ⓘ |
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: Nagyvárad tér Description of subject: Nagyvárad tér is a metro station in Budapest that serves the city’s public transportation network on one of its main lines.
Referenced by (4)
Full triples — surface form annotated when it differs from this entity's canonical label.
this entity surface form:
Nagyvárad tér square