Rizhskaya
E235848
Rizhskaya is a Moscow Metro station on the Big Circle Line serving the Rizhsky railway terminal area.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Rizhskaya canonical | 2 |
How this entity was disambiguated
This entity first appeared as the object of triple T1946817 — 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: Rizhskaya Context triple: [Big Circle Line, hasStation, Rizhskaya]
-
A.
Kashirskaya
Kashirskaya is a Moscow Metro station that serves as an interchange point on the system’s Big Circle Line.
-
B.
Vyatskoye
Vyatskoye is a rural locality in Russia’s Khabarovsk Krai, historically noted as the birthplace of North Korean leader Kim Jong Il.
-
C.
Komsomolskaya
Komsomolskaya is one of Moscow Metro’s most famous and ornate stations, renowned for its grand Baroque-style decor and elaborate mosaics.
-
D.
Khoroshevskaya
Khoroshevskaya is a Moscow Metro station located on the Big Circle Line, serving the Khoroshyovsky District of the city.
-
E.
Volzhsky
Volzhsky is a major industrial city in southwestern Russia located across the Volga River from Volgograd.
- 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: Rizhskaya Target entity description: Rizhskaya is a Moscow Metro station on the Big Circle Line serving the Rizhsky railway terminal area.
-
A.
Kashirskaya
Kashirskaya is a Moscow Metro station that serves as an interchange point on the system’s Big Circle Line.
-
B.
Vyatskoye
Vyatskoye is a rural locality in Russia’s Khabarovsk Krai, historically noted as the birthplace of North Korean leader Kim Jong Il.
-
C.
Komsomolskaya
Komsomolskaya is one of Moscow Metro’s most famous and ornate stations, renowned for its grand Baroque-style decor and elaborate mosaics.
-
D.
Khoroshevskaya
Khoroshevskaya is a Moscow Metro station located on the Big Circle Line, serving the Khoroshyovsky District of the city.
-
E.
Volzhsky
Volzhsky is a major industrial city in southwestern Russia located across the Volga River from Volgograd.
- F. None of above. chosen
Statements (15)
| Predicate | Object |
|---|---|
| instanceOf |
Moscow Metro station
ⓘ
underground railway station ⓘ |
| cityServed | Moscow ⓘ |
| country | Russia ⓘ |
| fareSystem | Moscow Metro fare system ⓘ |
| hasPlatformType | island platform ⓘ |
| hasRailGauge | Russian gauge ⓘ |
| line | Big Circle Line ⓘ |
| locatedIn |
Moscow
ⓘ
Russia ⓘ |
| partOf | Moscow Metro ⓘ |
| serves |
Moscow Rizhsky railway station
ⓘ
surface form:
Rizhsky railway terminal
|
| stationType | metro station ⓘ |
| structureType | underground ⓘ |
| transportNetwork | Moscow Metro ⓘ |
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: Rizhskaya Description of subject: Rizhskaya is a Moscow Metro station on the Big Circle Line serving the Rizhsky railway terminal area.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.