Krasnoprudnaya Street
E1006548
Krasnoprudnaya Street is a major street in Moscow, Russia, located near the city’s central railway terminals and forming part of a key transport hub around Komsomolskaya Square.
All labels observed (2)
| Label | Occurrences |
|---|---|
| Krasnoprudnaya Street canonical | 3 |
| Krasnoprudnaya ulitsa | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T10878954 — 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: Krasnoprudnaya Street Context triple: [Komsomolskaya Square, connectsWith, Krasnoprudnaya Street]
-
A.
Novogireevskaya Street
Novogireevskaya Street is a local street in the Novogireyevo district of Moscow, Russia, serving as one of the area's residential and transport thoroughfares.
-
B.
Seleznevskaya Street
Seleznevskaya Street is a street in Moscow, Russia, known in part for providing one of the entrances to the Novoslobodskaya metro station.
-
C.
Zhigulevskaya Street
Zhigulevskaya Street is a street in Moscow, Russia, located in the southeastern part of the city and serving residential neighborhoods including the Kuzminki area.
-
D.
Deribasovskaya Street
Deribasovskaya Street is a central, historic pedestrian street in Odesa, Ukraine, known for its lively atmosphere, shops, cafes, and cultural landmarks.
-
E.
Nikolskaya Street
Nikolskaya Street is a historic and central Moscow thoroughfare leading from Red Square, known for its ornate architecture, luxury shops, and role as a major pedestrian and tourist route.
- 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: Krasnoprudnaya Street Target entity description: Krasnoprudnaya Street is a major street in Moscow, Russia, located near the city’s central railway terminals and forming part of a key transport hub around Komsomolskaya Square.
-
A.
Novogireevskaya Street
Novogireevskaya Street is a local street in the Novogireyevo district of Moscow, Russia, serving as one of the area's residential and transport thoroughfares.
-
B.
Seleznevskaya Street
Seleznevskaya Street is a street in Moscow, Russia, known in part for providing one of the entrances to the Novoslobodskaya metro station.
-
C.
Zhigulevskaya Street
Zhigulevskaya Street is a street in Moscow, Russia, located in the southeastern part of the city and serving residential neighborhoods including the Kuzminki area.
-
D.
Deribasovskaya Street
Deribasovskaya Street is a central, historic pedestrian street in Odesa, Ukraine, known for its lively atmosphere, shops, cafes, and cultural landmarks.
-
E.
Nikolskaya Street
Nikolskaya Street is a historic and central Moscow thoroughfare leading from Red Square, known for its ornate architecture, luxury shops, and role as a major pedestrian and tourist route.
- F. None of above. chosen
Statements (20)
| Predicate | Object |
|---|---|
| instanceOf |
street
ⓘ
urban road ⓘ |
| connectsArea | Komsomolskaya Square area ⓘ |
| country | Russia ⓘ |
| formsPartOf | transport hub around Komsomolskaya Square ⓘ |
| hasFunction | major traffic artery ⓘ |
| hasNameForm |
Krasnoprudnaya ulitsa
ⓘ
linked to:
Krasnoprudnaya Street
|
| hasNameLanguage | Russian ⓘ |
| locatedIn |
Central Administrative Okrug of Moscow
ⓘ
linked to:
Central Administrative Okrug
Moscow ⓘ |
| near |
Kazansky railway terminal
ⓘ
Komsomolskaya Square ⓘ Leningradsky railway terminal ⓘ Moscow city centre ⓘ
linked to:
Moscow city center
Moscow railway terminals ⓘ
linked to:
Moscow railway hub
Yaroslavsky railway terminal ⓘ
linked to:
Yaroslavsky railway station
|
| partOf | Moscow road network ⓘ |
| roadType | city street ⓘ |
| urbanContext | central Moscow transport infrastructure ⓘ |
| usedFor | road 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: Krasnoprudnaya Street Description of subject: Krasnoprudnaya Street is a major street in Moscow, Russia, located near the city’s central railway terminals and forming part of a key transport hub around Komsomolskaya Square.
Referenced by (4)
Full triples — surface form annotated when it differs from this entity's canonical label.