Kruhlouniversytetska Street

E1022749

Kruhlouniversytetska Street is a central street in Kyiv, Ukraine, located near key government and administrative buildings.

Try in SPARQL Jump to: Surface forms Statements Referenced by

All labels observed (1)

Label Occurrences
Kruhlouniversytetska Street canonical 1

Statements (46)

Predicate Object
instanceOf street
urban road
country Ukraine
hasAdjacentLandUse administrative
governmental
residential
hasClimate humid continental climate
hasCoordinateLocation Kyiv city center coordinates
hasCountryCapital Kyiv NERFINISHED
hasFunction access to government buildings
administrative center access
hasJurisdiction Kyiv City State Administration NERFINISHED
hasLanguage Ukrainian
hasNameInLanguage Круглоуніверситетська вулиця NERFINISHED
hasNameLanguage Ukrainian
hasNearbyMetroLine Sviatoshynsko–Brovarska Line NERFINISHED
Syretsko–Pecherska Line NERFINISHED
hasNearbyMetroStation Khreshchatyk station NERFINISHED
Klovska station NERFINISHED
Maidan Nezalezhnosti station NERFINISHED
hasNearbyMetroSystem Kyiv Metro NERFINISHED
hasPostalCodeRegion central Kyiv postal codes
hasPublicTransport Kyiv bus network
Kyiv marshrutka network NERFINISHED
Kyiv trolleybus network NERFINISHED
hasRoadType urban street
hasTransportMode road transport
hasUrbanRole central street of Kyiv
hasWritingSystem Cyrillic
isLocatedInCapitalCityOf Ukraine NERFINISHED
isPartOfUrbanArea central Kyiv NERFINISHED
locatedIn Kyiv NERFINISHED
locatedInAdministrativeTerritorialEntity Pecherskyi District NERFINISHED
locatedInTimeZone Eastern European Summer Time
Eastern European Time
locatedNear Cabinet of Ministers of Ukraine NERFINISHED
House with Chimaeras NERFINISHED
Khreshchatyk Street NERFINISHED
Lobanovskyi Dynamo Stadium NERFINISHED
Maidan Nezalezhnosti NERFINISHED
Mariinskyi Park NERFINISHED
National Bank of Ukraine NERFINISHED
Presidential Administration of Ukraine NERFINISHED
Verkhovna Rada of Ukraine NERFINISHED
locatedOnContinent Europe
partOf Kyiv city center NERFINISHED

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: Kruhlouniversytetska Street
Description of subject: Kruhlouniversytetska Street is a central street in Kyiv, Ukraine, located near key government and administrative buildings.

Referenced by (1)

Full triples — surface form annotated when it differs from this entity's canonical label.

Bankova Street adjacentTo Kruhlouniversytetska Street