Novomoskovsky Administrative Okrug
E778175
Novomoskovsky Administrative Okrug is a territorial division of Moscow, Russia, formed from newly incorporated southwestern districts as part of the city's expansion.
All labels observed (3)
| Label | Occurrences |
|---|---|
| Novomoskovsky Administrative Okrug canonical | 4 |
| Novomoskovsky Administrative Okrug of Moscow | 1 |
| Новомосковский административный округ | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T9100653 — 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: Novomoskovsky Administrative Okrug Context triple: [Salaryevo station, locatedInTheAdministrativeTerritorialEntity, Novomoskovsky Administrative Okrug]
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A.
Dvortsovy Municipal Okrug
Dvortsovy Municipal Okrug is a central administrative subdivision of Saint Petersburg, Russia, encompassing part of the historic city center with many notable cultural and architectural landmarks.
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B.
Vladimirsky Municipal Okrug
Vladimirsky Municipal Okrug is a local self-governing municipal division within the historic center of Saint Petersburg, Russia.
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C.
Luzhsky District
Luzhsky District is an administrative and municipal district in Leningrad Oblast, Russia, known for its large forested areas, rivers, and the town of Luga as its administrative center.
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D.
Krasnoselsky District
Krasnoselsky District is a central Moscow neighborhood known for its major transport hubs, historic architecture, and proximity to key administrative and cultural sites.
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E.
Gatchinsky District
Gatchinsky District is an administrative and municipal district in northwestern Russia known for its historical town of Gatchina and proximity to Saint Petersburg.
- 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: Novomoskovsky Administrative Okrug Target entity description: Novomoskovsky Administrative Okrug is a territorial division of Moscow, Russia, formed from newly incorporated southwestern districts as part of the city's expansion.
-
A.
Dvortsovy Municipal Okrug
Dvortsovy Municipal Okrug is a central administrative subdivision of Saint Petersburg, Russia, encompassing part of the historic city center with many notable cultural and architectural landmarks.
-
B.
Vladimirsky Municipal Okrug
Vladimirsky Municipal Okrug is a local self-governing municipal division within the historic center of Saint Petersburg, Russia.
-
C.
Luzhsky District
Luzhsky District is an administrative and municipal district in Leningrad Oblast, Russia, known for its large forested areas, rivers, and the town of Luga as its administrative center.
-
D.
Krasnoselsky District
Krasnoselsky District is a central Moscow neighborhood known for its major transport hubs, historic architecture, and proximity to key administrative and cultural sites.
-
E.
Gatchinsky District
Gatchinsky District is an administrative and municipal district in northwestern Russia known for its historical town of Gatchina and proximity to Saint Petersburg.
- F. None of above. chosen
Statements (49)
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: Novomoskovsky Administrative Okrug Description of subject: Novomoskovsky Administrative Okrug is a territorial division of Moscow, Russia, formed from newly incorporated southwestern districts as part of the city's expansion.
Referenced by (6)
Full triples — surface form annotated when it differs from this entity's canonical label.
Salaryevo station
→
locatedInTheAdministrativeTerritorialEntity
→
Novomoskovsky Administrative Okrug
ⓘ
Southern Administrative Okrug of Moscow
→
hasBorderWith
→
Novomoskovsky Administrative Okrug of Moscow
ⓘ
linked to: Novomoskovsky Administrative Okrug
New Moscow territories (Troitsky and Novomoskovsky Administrative Okrugs)
→
containsAdministrativeTerritorialEntity
→
Novomoskovsky Administrative Okrug
ⓘ
subject linked to:
Prokshino station
linked to: Novomoskovsky Administrative Okrug