Chkalovskaya (Lyublinsko–Dmitrovskaya line)
E893414
Chkalovskaya is a Moscow Metro station on the Lyublinsko–Dmitrovskaya line, located in central Moscow and integrated into a major transfer hub with several intersecting lines.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Chkalovskaya (Lyublinsko–Dmitrovskaya line) canonical | 2 |
How this entity was disambiguated
This entity first appeared as the object of triple T10930770 — 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: Chkalovskaya (Lyublinsko–Dmitrovskaya line) Context triple: [Kurskaya, hasTransferTo, Chkalovskaya (Lyublinsko–Dmitrovskaya line)]
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A.
Taganskaya (Tagansko–Krasnopresnenskaya line)
Taganskaya is a Moscow Metro station on the Tagansko–Krasnopresnenskaya line, serving the Tagansky District with deep-level platforms and connections to other lines.
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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.
Kievskaya (Arbatsko–Pokrovskaya line)
Kievskaya (Arbatsko–Pokrovskaya line) is a Moscow Metro station known for its ornate Soviet-era decor and role as a major transfer hub near the Kiyevsky railway terminal.
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D.
Moscow Metro Tekstilshchiki (Bolshaya Koltsevaya line)
Moscow Metro Tekstilshchiki (Bolshaya Koltsevaya line) is a station on Moscow’s Bolshaya Koltsevaya (Big Circle) Line serving the Tekstilshchiki district in the city’s southeast.
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E.
Paveletskaya (Koltsevaya line)
Paveletskaya (Koltsevaya line) is a Moscow Metro station on the circular Koltsevaya Line, serving as a major transfer hub near Paveletsky railway terminal.
- 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: Chkalovskaya (Lyublinsko–Dmitrovskaya line) Target entity description: Chkalovskaya is a Moscow Metro station on the Lyublinsko–Dmitrovskaya line, located in central Moscow and integrated into a major transfer hub with several intersecting lines.
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A.
Taganskaya (Tagansko–Krasnopresnenskaya line)
Taganskaya is a Moscow Metro station on the Tagansko–Krasnopresnenskaya line, serving the Tagansky District with deep-level platforms and connections to other lines.
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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.
Kievskaya (Arbatsko–Pokrovskaya line)
Kievskaya (Arbatsko–Pokrovskaya line) is a Moscow Metro station known for its ornate Soviet-era decor and role as a major transfer hub near the Kiyevsky railway terminal.
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D.
Moscow Metro Tekstilshchiki (Bolshaya Koltsevaya line)
Moscow Metro Tekstilshchiki (Bolshaya Koltsevaya line) is a station on Moscow’s Bolshaya Koltsevaya (Big Circle) Line serving the Tekstilshchiki district in the city’s southeast.
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E.
Paveletskaya (Koltsevaya line)
Paveletskaya (Koltsevaya line) is a Moscow Metro station on the circular Koltsevaya Line, serving as a major transfer hub near Paveletsky railway terminal.
- F. None of above. chosen
Statements (44)
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: Chkalovskaya (Lyublinsko–Dmitrovskaya line) Description of subject: Chkalovskaya is a Moscow Metro station on the Lyublinsko–Dmitrovskaya line, located in central Moscow and integrated into a major transfer hub with several intersecting lines.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.
Kurskaya (Arbatsko–Pokrovskaya line)
→
hasInterchangeWith
→
Chkalovskaya (Lyublinsko–Dmitrovskaya line)
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