Nakhimovskaya
E706996
Nakhimovskaya is an alternative form of the Russian place name Nakhimovskoye, typically reflecting feminine grammatical gender in Russian toponymy.
All labels observed (2)
| Label | Occurrences |
|---|---|
| Nakhimovskaya canonical | 3 |
| Nakhimovskoye | 2 |
How this entity was disambiguated
This entity first appeared as the object of triple T8054199 — 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: Nakhimovskaya Context triple: [Nakhimovskoye, admitsAlternativeForms, Nakhimovskaya]
-
A.
Khoroshevskaya
Khoroshevskaya is a Moscow Metro station located on the Big Circle Line, serving the Khoroshyovsky District of the city.
-
B.
Malaya Nevka
Malaya Nevka is a distributary channel of the Neva River in Saint Petersburg, Russia, forming part of the city’s intricate river and canal network.
-
C.
Navalnaya
Navalnaya is the surname of Yulia Navalnaya, a Russian public figure and the widow of opposition leader Alexei Navalny.
-
D.
Krasnopresnenskaya
Krasnopresnenskaya is a Moscow Metro station on the city’s circular Koltsevaya Line, known for its deep-level construction and Soviet-era architectural design.
-
E.
Krasnogvardeyskaya
Krasnogvardeyskaya is a Moscow Metro station on the Zamoskvoretskaya Line serving the southern part of the city.
- 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: Nakhimovskaya Target entity description: Nakhimovskaya is an alternative form of the Russian place name Nakhimovskoye, typically reflecting feminine grammatical gender in Russian toponymy.
-
A.
Khoroshevskaya
Khoroshevskaya is a Moscow Metro station located on the Big Circle Line, serving the Khoroshyovsky District of the city.
-
B.
Malaya Nevka
Malaya Nevka is a distributary channel of the Neva River in Saint Petersburg, Russia, forming part of the city’s intricate river and canal network.
-
C.
Navalnaya
Navalnaya is the surname of Yulia Navalnaya, a Russian public figure and the widow of opposition leader Alexei Navalny.
-
D.
Krasnopresnenskaya
Krasnopresnenskaya is a Moscow Metro station on the city’s circular Koltsevaya Line, known for its deep-level construction and Soviet-era architectural design.
-
E.
Krasnogvardeyskaya
Krasnogvardeyskaya is a Moscow Metro station on the Zamoskvoretskaya Line serving the southern part of the city.
- F. None of above. chosen
Statements (20)
| Predicate | Object |
|---|---|
| instanceOf |
Russian-language toponym
ⓘ
alternative name ⓘ toponymic form ⓘ |
| appliesTo | feminine-gendered geographic entities ⓘ |
| category | Russian place-name forms ⓘ |
| derivesFrom | Nakhimovskoye ⓘ |
| genderVariantOf |
Nakhimovskoye
ⓘ
linked to:
Nakhimovskaya
|
| hasEtymologicalRoot |
Nakhimov
ⓘ
linked to:
Admiral Pavel Nakhimov
|
| hasGrammaticalGender | feminine ⓘ |
| hasRomanization | Nakhimovskaya ⓘ |
| hasSpellingVariant | Нахимовская ⓘ |
| isAlternativeFormOf |
Nakhimovskoye
ⓘ
linked to:
Nakhimovskaya
|
| isNamedAfter | Nakhimov (surname) ⓘ |
| isToponymicAdjectiveOf | Nakhimovskoye ⓘ |
| isUsedAs | place name form ⓘ |
| language | Russian ⓘ |
| partOf | Russian grammatical system ⓘ |
| relatesTo | Russian toponymy ⓘ |
| usedIn | Russian geographical nomenclature ⓘ |
| usesScript | Cyrillic ⓘ |
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: Nakhimovskaya Description of subject: Nakhimovskaya is an alternative form of the Russian place name Nakhimovskoye, typically reflecting feminine grammatical gender in Russian toponymy.
Referenced by (5)
Full triples — surface form annotated when it differs from this entity's canonical label.
subject linked to:
city of Nakhimovskoye (various localities)
linked to: Nakhimovskaya
linked to: Nakhimovskaya