Tekstilshchiki (Tagansko–Krasnopresnenskaya line)
E778182
Tekstilshchiki (Tagansko–Krasnopresnenskaya line) is a Moscow Metro station on the Tagansko–Krasnopresnenskaya line serving the Tekstilshchiki district in southeastern Moscow.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Tekstilshchiki (Tagansko–Krasnopresnenskaya line) canonical | 2 |
How this entity was disambiguated
This entity first appeared as the object of triple T9100891 — 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: Tekstilshchiki (Tagansko–Krasnopresnenskaya line) Context triple: [Tekstilshchiki, hasConnection, Tekstilshchiki (Tagansko–Krasnopresnenskaya line)]
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A.
Tagansko–Krasnopresnenskaya Line
The Tagansko–Krasnopresnenskaya Line is a major Moscow Metro line known for being one of the system’s busiest routes, connecting key residential districts with central Moscow.
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B.
Kalininsko–Solntsevskaya Line
The Kalininsko–Solntsevskaya Line is a major east–west rapid transit line of the Moscow Metro, serving numerous residential and commercial districts across the city.
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C.
Filyovskaya Line
The Filyovskaya Line is one of the lines of the Moscow Metro, serving western districts of the city and connecting them with the central network.
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D.
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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E.
Lyublinsko–Dmitrovskaya Line
The Lyublinsko–Dmitrovskaya Line is a line of the Moscow Metro system that runs generally from the southeastern to the northern districts of Moscow, serving numerous residential and commercial areas.
- 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: Tekstilshchiki (Tagansko–Krasnopresnenskaya line) Target entity description: Tekstilshchiki (Tagansko–Krasnopresnenskaya line) is a Moscow Metro station on the Tagansko–Krasnopresnenskaya line serving the Tekstilshchiki district in southeastern Moscow.
-
A.
Tagansko–Krasnopresnenskaya Line
The Tagansko–Krasnopresnenskaya Line is a major Moscow Metro line known for being one of the system’s busiest routes, connecting key residential districts with central Moscow.
-
B.
Kalininsko–Solntsevskaya Line
The Kalininsko–Solntsevskaya Line is a major east–west rapid transit line of the Moscow Metro, serving numerous residential and commercial districts across the city.
-
C.
Filyovskaya Line
The Filyovskaya Line is one of the lines of the Moscow Metro, serving western districts of the city and connecting them with the central network.
-
D.
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.
-
E.
Lyublinsko–Dmitrovskaya Line
The Lyublinsko–Dmitrovskaya Line is a line of the Moscow Metro system that runs generally from the southeastern to the northern districts of Moscow, serving numerous residential and commercial areas.
- F. None of above. chosen
Statements (35)
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: Tekstilshchiki (Tagansko–Krasnopresnenskaya line) Description of subject: Tekstilshchiki (Tagansko–Krasnopresnenskaya line) is a Moscow Metro station on the Tagansko–Krasnopresnenskaya line serving the Tekstilshchiki district in southeastern Moscow.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.
Tekstilshchiki (Bolshaya Koltsevaya line)
→
hasConnectionPlannedWith
→
Tekstilshchiki (Tagansko–Krasnopresnenskaya line)
ⓘ
subject linked to:
Moscow Metro Tekstilshchiki (Bolshaya Koltsevaya line)