Bulvar Dmitriya Donskogo (via connecting tracks/transfer)
E912607
Bulvar Dmitriya Donskogo is a Moscow Metro station that serves as a key southern terminus and transfer point between lines in the city’s subway network.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Bulvar Dmitriya Donskogo (via connecting tracks/transfer) canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T11229539 — 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: Bulvar Dmitriya Donskogo (via connecting tracks/transfer) Context triple: [Ulitsa Starokachalovskaya, adjacentStationOnLine, Bulvar Dmitriya Donskogo (via connecting tracks/transfer)]
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A.
Yaroslavsky railway line
The Yaroslavsky railway line is a major suburban and intercity rail route radiating from Moscow’s Yaroslavsky railway station, serving numerous towns and cities to the northeast of the capital.
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B.
Belorusskaya (Zamoskvoretskaya line)
Belorusskaya (Zamoskvoretskaya line) is a Moscow Metro station on the Zamoskvoretskaya line, known for serving the Belorussky Rail Terminal area and featuring Soviet-era architectural design.
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C.
Sokolnicheskaya Line stations
Sokolnicheskaya Line stations are the metro stations that form the stops along the Sokolnicheskaya Line of the Moscow Metro system.
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D.
Sokolnichesky Radius Interchange Stations
Sokolnichesky Radius Interchange Stations are a group of Moscow Metro transfer stations on the Big Circle Line that provide key connections to the Sokolnicheskaya (Sokolniki) radial line.
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E.
Zamoskvoretskaya Line
The Zamoskvoretskaya Line is one of the main north–south lines of the Moscow Metro, known for its heavy passenger traffic and several historically and architecturally significant stations.
- 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: Bulvar Dmitriya Donskogo (via connecting tracks/transfer) Target entity description: Bulvar Dmitriya Donskogo is a Moscow Metro station that serves as a key southern terminus and transfer point between lines in the city’s subway network.
-
A.
Yaroslavsky railway line
The Yaroslavsky railway line is a major suburban and intercity rail route radiating from Moscow’s Yaroslavsky railway station, serving numerous towns and cities to the northeast of the capital.
-
B.
Belorusskaya (Zamoskvoretskaya line)
Belorusskaya (Zamoskvoretskaya line) is a Moscow Metro station on the Zamoskvoretskaya line, known for serving the Belorussky Rail Terminal area and featuring Soviet-era architectural design.
-
C.
Sokolnicheskaya Line stations
Sokolnicheskaya Line stations are the metro stations that form the stops along the Sokolnicheskaya Line of the Moscow Metro system.
-
D.
Sokolnichesky Radius Interchange Stations
Sokolnichesky Radius Interchange Stations are a group of Moscow Metro transfer stations on the Big Circle Line that provide key connections to the Sokolnicheskaya (Sokolniki) radial line.
-
E.
Zamoskvoretskaya Line
The Zamoskvoretskaya Line is one of the main north–south lines of the Moscow Metro, known for its heavy passenger traffic and several historically and architecturally significant stations.
- F. None of above. chosen
Statements (32)
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: Bulvar Dmitriya Donskogo (via connecting tracks/transfer) Description of subject: Bulvar Dmitriya Donskogo is a Moscow Metro station that serves as a key southern terminus and transfer point between lines in the city’s subway network.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.
Ulitsa Starokachalovskaya
→
adjacentStationOnLine
→
Bulvar Dmitriya Donskogo (via connecting tracks/transfer)
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