Vavilova Street
E776801
Vavilova Street is a notable thoroughfare in Moscow, Russia, known for hosting major intersections such as Gagarin Square.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Vavilova Street canonical | 2 |
How this entity was disambiguated
This entity first appeared as the object of triple T8768957 — 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: Vavilova Street Context triple: [Gagarin Square, locatedOnStreet, Vavilova Street]
-
A.
Novoslobodskaya Street
Novoslobodskaya Street is a major thoroughfare in central Moscow, Russia, known for its historic architecture, commercial activity, and proximity to the Novoslobodskaya metro station.
-
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.
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.
-
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.
Volkhonka Street
Volkhonka Street is a historic central Moscow street known for its cultural landmarks, including major museums and proximity to the Kremlin.
- 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: Vavilova Street Target entity description: Vavilova Street is a notable thoroughfare in Moscow, Russia, known for hosting major intersections such as Gagarin Square.
-
A.
Novoslobodskaya Street
Novoslobodskaya Street is a major thoroughfare in central Moscow, Russia, known for its historic architecture, commercial activity, and proximity to the Novoslobodskaya metro station.
-
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.
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.
-
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.
Volkhonka Street
Volkhonka Street is a historic central Moscow street known for its cultural landmarks, including major museums and proximity to the Kremlin.
- F. None of above. chosen
Statements (29)
| Predicate | Object |
|---|---|
| instanceOf |
street
ⓘ
thoroughfare ⓘ |
| country | Russia ⓘ |
| hasCity | Moscow ⓘ |
| hasCountryCapital |
Moscow is capital of Russia
ⓘ
linked to:
Moscow
|
| hasFunction | urban traffic artery ⓘ |
| hasLanguageOfToponym | Russian ⓘ |
| hasMajorIntersection |
Gagarin Square
ⓘ
Leninsky Prospekt ⓘ Profsoyuznaya Street ⓘ Universitetsky Prospekt ⓘ |
| hasNearbyMetroStation |
Akademicheskaya metro station
ⓘ
Leninsky Prospekt metro station ⓘ Profsoyuznaya metro station ⓘ |
| hasNotablePlaceNearby | Gagarin Square ⓘ |
| hasRoadType | urban street ⓘ |
| hasRussianName | улица Вавилова ⓘ |
| hasTransportConnection |
Moscow bus routes
ⓘ
Moscow trolleybus routes ⓘ |
| hasUrbanZoneType |
mixed-use area
ⓘ
residential area ⓘ |
| locatedIn | Moscow ⓘ |
| locatedInAdministrativeTerritorialEntity |
Akademichesky District
ⓘ
Gagarinsky District ⓘ South-Western Administrative Okrug of Moscow ⓘ |
| locatedInTimeZone |
Moscow Time
ⓘ
UTC+3 ⓘ |
| namedAfter | Nikolai Vavilov ⓘ |
| partOf | Moscow street network ⓘ |
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: Vavilova Street Description of subject: Vavilova Street is a notable thoroughfare in Moscow, Russia, known for hosting major intersections such as Gagarin Square.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.