Krasnodar trolleybus
E686413
The Krasnodar trolleybus is an electric public transport network serving the Russian city of Krasnodar, operating trolleybus routes across its urban areas.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Krasnodar trolleybus canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T7741144 — 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: Krasnodar trolleybus Context triple: [Krasnodar, hasTrolleybusSystem, Krasnodar trolleybus]
-
A.
Volgograd trolleybus network
The Volgograd trolleybus network is an electric public transit system in Volgograd, Russia, providing urban transportation via trolleybuses powered by overhead wires.
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B.
Crimean trolleybus line
The Crimean trolleybus line is a long-distance electric trolleybus route in Crimea, notable for being one of the world’s longest trolleybus lines and connecting cities such as Simferopol, Alushta, and Yalta across mountainous terrain.
-
C.
Volgograd tram network
The Volgograd tram network is an extensive urban tramway system serving the Russian city of Volgograd, providing surface-level public transport that complements the partially grade-separated Volgograd Metrotram.
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D.
Volgograd Metrotram
The Volgograd Metrotram is a hybrid light rail and underground tram system in Volgograd, Russia, providing rapid transit-style service along a dedicated north–south corridor through the city.
-
E.
Saint Petersburg trolleybus network
The Saint Petersburg trolleybus network is an extensive electric public transport system in Saint Petersburg, Russia, operating trolleybuses along city streets and serving as a major component of the urban transit infrastructure.
- 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: Krasnodar trolleybus Target entity description: The Krasnodar trolleybus is an electric public transport network serving the Russian city of Krasnodar, operating trolleybus routes across its urban areas.
-
A.
Volgograd trolleybus network
The Volgograd trolleybus network is an electric public transit system in Volgograd, Russia, providing urban transportation via trolleybuses powered by overhead wires.
-
B.
Crimean trolleybus line
The Crimean trolleybus line is a long-distance electric trolleybus route in Crimea, notable for being one of the world’s longest trolleybus lines and connecting cities such as Simferopol, Alushta, and Yalta across mountainous terrain.
-
C.
Volgograd tram network
The Volgograd tram network is an extensive urban tramway system serving the Russian city of Volgograd, providing surface-level public transport that complements the partially grade-separated Volgograd Metrotram.
-
D.
Volgograd Metrotram
The Volgograd Metrotram is a hybrid light rail and underground tram system in Volgograd, Russia, providing rapid transit-style service along a dedicated north–south corridor through the city.
-
E.
Saint Petersburg trolleybus network
The Saint Petersburg trolleybus network is an extensive electric public transport system in Saint Petersburg, Russia, operating trolleybuses along city streets and serving as a major component of the urban transit infrastructure.
- F. None of above. chosen
Statements (40)
| Predicate | Object |
|---|---|
| instanceOf |
electric transport system
ⓘ
trolleybus system ⓘ |
| connects |
central districts of Krasnodar
ⓘ
industrial areas of Krasnodar ⓘ residential districts of Krasnodar ⓘ transport hubs in Krasnodar ⓘ |
| country | Russia ⓘ |
| energySource | electric power grid ⓘ |
| environmentalCharacteristic | zero local exhaust emissions ⓘ |
| farePolicy | regulated by local authorities ⓘ |
| fareSystem | paid public transport ⓘ |
| hasAccessibilityFeature | public road access ⓘ |
| hasMode | overhead-wire electric road transport ⓘ |
| hasRouteType | urban routes ⓘ |
| hasSchedule | timetabled service ⓘ |
| isElectric | yes ⓘ |
| isPartOfSector | urban public transport in Russia ⓘ |
| isRailBound | no ⓘ |
| languageOfSignage | Russian ⓘ |
| locatedIn | Krasnodar ⓘ |
| locatedInAdministrativeTerritory | Krasnodar Krai ⓘ |
| locatedInContinent |
Asia
ⓘ
Europe ⓘ |
| operatedBy | municipal transport operator of Krasnodar ⓘ |
| operatesInCity | Krasnodar ⓘ |
| operatesOn |
fixed routes
ⓘ
fixed stops ⓘ |
| partOf | public transport of Krasnodar ⓘ |
| primaryFunction | mass passenger transport ⓘ |
| propulsionType | electricity ⓘ |
| roadVehicleType | rubber-tyred electric bus ⓘ |
| serviceArea | urban areas of Krasnodar ⓘ |
| serviceType | public transport ⓘ |
| ticketRequired | yes ⓘ |
| transportType | trolleybus ⓘ |
| typicalUsers |
city residents
ⓘ
visitors to Krasnodar ⓘ |
| usesInfrastructure |
overhead trolley wires
ⓘ
trolleybus depots ⓘ |
| usesVehicleType | trolleybus ⓘ |
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: Krasnodar trolleybus Description of subject: The Krasnodar trolleybus is an electric public transport network serving the Russian city of Krasnodar, operating trolleybus routes across its urban areas.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.