Ramensky District
E811341
Ramensky District is an administrative district in Moscow Oblast, Russia, known for its rapidly developing suburban communities and proximity to the city of Moscow.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Ramensky District canonical | 2 |
How this entity was disambiguated
This entity first appeared as the object of triple T9224410 — 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: Ramensky District Context triple: [Ramenskoye, locatedInTheAdministrativeTerritorialEntity, Ramensky District]
-
A.
Pytalovsky District
Pytalovsky District is an administrative and municipal district in western Russia, located in the border region of Pskov Oblast near Latvia.
-
B.
Priozersky District
Priozersky District is an administrative and municipal district in Leningrad Oblast, Russia, known for its location around Lake Ladoga and its historical ties to the Karelian Isthmus.
-
C.
Slantsevsky District
Slantsevsky District is an administrative and municipal district in Leningrad Oblast, Russia, known for its industrial towns and proximity to the Estonian border.
-
D.
Chaunsky District
Chaunsky District is an administrative district in Russia’s Chukotka Autonomous Okrug, known for encompassing the Arctic port town of Pevek.
-
E.
Opochetsky District
Opochetsky District is an administrative and municipal district in western Russia, located within Pskov Oblast and centered around the town of Opochka.
- 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: Ramensky District Target entity description: Ramensky District is an administrative district in Moscow Oblast, Russia, known for its rapidly developing suburban communities and proximity to the city of Moscow.
-
A.
Pytalovsky District
Pytalovsky District is an administrative and municipal district in western Russia, located in the border region of Pskov Oblast near Latvia.
-
B.
Priozersky District
Priozersky District is an administrative and municipal district in Leningrad Oblast, Russia, known for its location around Lake Ladoga and its historical ties to the Karelian Isthmus.
-
C.
Slantsevsky District
Slantsevsky District is an administrative and municipal district in Leningrad Oblast, Russia, known for its industrial towns and proximity to the Estonian border.
-
D.
Chaunsky District
Chaunsky District is an administrative district in Russia’s Chukotka Autonomous Okrug, known for encompassing the Arctic port town of Pevek.
-
E.
Opochetsky District
Opochetsky District is an administrative and municipal district in western Russia, located within Pskov Oblast and centered around the town of Opochka.
- F. None of above. chosen
Statements (47)
| Predicate | Object |
|---|---|
| instanceOf |
administrative district
ⓘ
district of Moscow Oblast ⓘ |
| administrativeCenter | Ramenskoye NERFINISHED ⓘ |
| administrativeStatus | raion of Moscow Oblast ⓘ |
| bordersWith |
Bronnitsky District
NERFINISHED
ⓘ
Kotelniki Urban Okrug NERFINISHED ⓘ Lyuberetsky District NERFINISHED ⓘ Voskresensky District NERFINISHED ⓘ Zhukovsky Urban Okrug NERFINISHED ⓘ |
| climate | humid continental climate ⓘ |
| country | Russia ⓘ |
| federalSubject | Moscow Oblast NERFINISHED ⓘ |
| governingBody | Ramensky District Administration NERFINISHED ⓘ |
| hasAirportNearby | Bykovo Airport (historical) NERFINISHED ⓘ |
| hasEconomicActivity |
construction
ⓘ
industry ⓘ services ⓘ transport ⓘ |
| hasFeature |
commuter settlements for Moscow
ⓘ
mixed urban and rural areas ⓘ |
| hasMunicipalFormation | Ramensky Municipal District NERFINISHED ⓘ |
| hasRailwayLine | Moscow–Ryazan railway corridor NERFINISHED ⓘ |
| hasRuralLocality | various villages and settlements ⓘ |
| hasSignificantSettlementPattern | suburban residential development ⓘ |
| hasTown | Ramenskoye NERFINISHED ⓘ |
| hasTransportConnection | Moscow NERFINISHED ⓘ |
| hasUrbanOkrug | Ramenskoye Urban Okrug NERFINISHED ⓘ |
| hasUrbanTypeSettlement |
Bykovo
NERFINISHED
ⓘ
Druzhba NERFINISHED ⓘ Ilyinskoye NERFINISHED ⓘ Kratovo NERFINISHED ⓘ Novokharitonovo NERFINISHED ⓘ Rayki NERFINISHED ⓘ Sofrino-1 NERFINISHED ⓘ Udelnaya NERFINISHED ⓘ |
| historicalRegion | Moscow Region NERFINISHED ⓘ |
| knownFor |
proximity to the city of Moscow
ⓘ
rapidly developing suburban communities ⓘ |
| language | Russian ⓘ |
| locatedIn |
Central Federal District
NERFINISHED
ⓘ
European Russia ⓘ Moscow Oblast ⓘ |
| partOfMetropolitanArea | Moscow metropolitan area NERFINISHED ⓘ |
| roadConnection | federal highways to Moscow ⓘ |
| timeZone | Moscow Time ⓘ |
| usesCurrency | Russian ruble NERFINISHED ⓘ |
| 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: Ramensky District Description of subject: Ramensky District is an administrative district in Moscow Oblast, Russia, known for its rapidly developing suburban communities and proximity to the city of Moscow.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.