Krasnoselsky District, Moscow
E895989
Krasnoselsky District, Moscow is a central administrative district of Russia’s capital known for its major railway terminals, transport hubs, and historic urban architecture.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Krasnoselsky District, Moscow canonical | 3 |
How this entity was disambiguated
This entity first appeared as the object of triple T10878939 — 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: Krasnoselsky District, Moscow Context triple: [Komsomolskaya Square, locatedInAdministrativeTerritorialEntity, Krasnoselsky District, Moscow]
-
A.
Ostankino District, Moscow
Ostankino District, Moscow is a northern Moscow neighborhood best known for housing the Ostankino Television Tower and major broadcasting and media facilities.
-
B.
Gagarinsky District, Moscow
Gagarinsky District, Moscow is a residential and educational district in Moscow’s South-Western Administrative Okrug, known for its Soviet-era architecture, major transport arteries, and proximity to leading universities and research institutes.
-
C.
Tverskoy District, Moscow
Tverskoy District, Moscow is a central administrative district of Russia’s capital, known for its historic architecture, major cultural institutions, and role as a key commercial and political hub.
-
D.
Alekseyevsky District, Moscow
Alekseyevsky District, Moscow is a northeastern administrative district of Russia’s capital known for major landmarks such as the VDNKh exhibition center and its mix of residential areas and cultural institutions.
-
E.
Yasenevo District, Moscow
Yasenevo District, Moscow is a southwestern residential and administrative area of Russia’s capital best known for hosting the headquarters of the country’s Foreign Intelligence Service (SVR).
- 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: Krasnoselsky District, Moscow Target entity description: Krasnoselsky District, Moscow is a central administrative district of Russia’s capital known for its major railway terminals, transport hubs, and historic urban architecture.
-
A.
Ostankino District, Moscow
Ostankino District, Moscow is a northern Moscow neighborhood best known for housing the Ostankino Television Tower and major broadcasting and media facilities.
-
B.
Gagarinsky District, Moscow
Gagarinsky District, Moscow is a residential and educational district in Moscow’s South-Western Administrative Okrug, known for its Soviet-era architecture, major transport arteries, and proximity to leading universities and research institutes.
-
C.
Tverskoy District, Moscow
Tverskoy District, Moscow is a central administrative district of Russia’s capital, known for its historic architecture, major cultural institutions, and role as a key commercial and political hub.
-
D.
Alekseyevsky District, Moscow
Alekseyevsky District, Moscow is a northeastern administrative district of Russia’s capital known for major landmarks such as the VDNKh exhibition center and its mix of residential areas and cultural institutions.
-
E.
Yasenevo District, Moscow
Yasenevo District, Moscow is a southwestern residential and administrative area of Russia’s capital best known for hosting the headquarters of the country’s Foreign Intelligence Service (SVR).
- F. None of above. chosen
Statements (48)
| Predicate | Object |
|---|---|
| instanceOf |
administrative district of Moscow
ⓘ
urban district ⓘ |
| administrativeCenter | Krasnoselsky District administration NERFINISHED ⓘ |
| contains |
Kalanchevskaya Street
NERFINISHED
ⓘ
Kazansky railway terminal NERFINISHED ⓘ Komsomolskaya Metro Station NERFINISHED ⓘ Komsomolskaya Square NERFINISHED ⓘ Komsomolskaya Square transport hub NERFINISHED ⓘ Krasnoprudnaya Street NERFINISHED ⓘ Krasnoselskaya Metro Station NERFINISHED ⓘ Krasnoselskaya Street NERFINISHED ⓘ Leningradsky railway terminal NERFINISHED ⓘ Novoryazanskaya Street NERFINISHED ⓘ Rusakovskaya Street NERFINISHED ⓘ Sokolniki Metro Station NERFINISHED ⓘ Yaroslavsky railway terminal NERFINISHED ⓘ |
| country | Russia ⓘ |
| governedBy | Moscow City Government NERFINISHED ⓘ |
| hasCapital | Moscow NERFINISHED ⓘ |
| hasFunction |
commercial area
ⓘ
residential area ⓘ transport hub of Moscow ⓘ |
| hasHeritage |
Soviet-era architecture
ⓘ
post-Soviet developments ⓘ pre-revolutionary buildings ⓘ |
| hasInfrastructure |
metro infrastructure
ⓘ
railway infrastructure ⓘ road transport infrastructure ⓘ |
| hasPublicTransport |
Moscow Metro
NERFINISHED
ⓘ
Moscow bus network ⓘ Moscow tram network NERFINISHED ⓘ |
| hasRailwayConnectionTo |
Kazan
NERFINISHED
ⓘ
Nizhny Novgorod NERFINISHED ⓘ Saint Petersburg NERFINISHED ⓘ Siberian cities via Yaroslavsky terminal ⓘ Yaroslavl NERFINISHED ⓘ |
| knownFor |
historic urban architecture
ⓘ
major railway terminals ⓘ transport hubs ⓘ |
| languageUsed | Russian ⓘ |
| locatedIn |
Central Federal District of Russia
NERFINISHED
ⓘ
European part of Russia ⓘ |
| partOf |
Central Administrative Okrug
NERFINISHED
ⓘ
Moscow NERFINISHED ⓘ |
| timeZone | Moscow Time ⓘ |
| urbanPlanningType |
historic urban fabric
ⓘ
mixed-use development ⓘ |
| utcOffset | +3 ⓘ |
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: Krasnoselsky District, Moscow Description of subject: Krasnoselsky District, Moscow is a central administrative district of Russia’s capital known for its major railway terminals, transport hubs, and historic urban architecture.
Referenced by (3)
Full triples — surface form annotated when it differs from this entity's canonical label.
subject surface form:
Krasnoselskaya