Savyolovsky railway terminal
E425654
Savyolovsky railway terminal is one of Moscow’s main rail stations, serving primarily suburban commuter routes in the northern direction of the city.
All labels observed (2)
| Label | Occurrences |
|---|---|
| Savyolovsky railway terminal canonical | 2 |
| Savyolovsky Rail Terminal | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T4061787 — 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: Savyolovsky railway terminal Context triple: [Moscow Railway suburban network, hasTerminal, Savyolovsky railway terminal]
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A.
Kursky railway terminal
Kursky railway terminal is one of Moscow’s major railway stations, serving both long-distance and suburban trains and acting as a key transport hub in the city’s rail network.
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B.
Moskovsky Rail Terminal
Moskovsky Rail Terminal is one of Saint Petersburg’s main railway stations, serving long-distance and high-speed trains, including routes to Moscow and other major Russian cities.
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C.
Leningradsky railway terminal
Leningradsky railway terminal is one of Moscow’s main railway stations, serving long-distance and suburban trains primarily heading toward Saint Petersburg and northwestern Russia.
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D.
Kazansky railway terminal
Kazansky railway terminal is one of Moscow’s major railway stations, serving as a key hub for long-distance and suburban trains heading mainly to Russia’s Volga, Ural, and southeastern regions.
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E.
Samara Railway Station
Samara Railway Station is a major transport hub and architecturally prominent railway terminal in the Russian city of Samara.
- 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: Savyolovsky railway terminal Target entity description: Savyolovsky railway terminal is one of Moscow’s main rail stations, serving primarily suburban commuter routes in the northern direction of the city.
-
A.
Kursky railway terminal
Kursky railway terminal is one of Moscow’s major railway stations, serving both long-distance and suburban trains and acting as a key transport hub in the city’s rail network.
-
B.
Moskovsky Rail Terminal
Moskovsky Rail Terminal is one of Saint Petersburg’s main railway stations, serving long-distance and high-speed trains, including routes to Moscow and other major Russian cities.
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C.
Leningradsky railway terminal
Leningradsky railway terminal is one of Moscow’s main railway stations, serving long-distance and suburban trains primarily heading toward Saint Petersburg and northwestern Russia.
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D.
Kazansky railway terminal
Kazansky railway terminal is one of Moscow’s major railway stations, serving as a key hub for long-distance and suburban trains heading mainly to Russia’s Volga, Ural, and southeastern regions.
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E.
Samara Railway Station
Samara Railway Station is a major transport hub and architecturally prominent railway terminal in the Russian city of Samara.
- F. None of above. chosen
Statements (48)
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: Savyolovsky railway terminal Description of subject: Savyolovsky railway terminal is one of Moscow’s main rail stations, serving primarily suburban commuter routes in the northern direction of the city.
Referenced by (3)
Full triples — surface form annotated when it differs from this entity's canonical label.
linked to: Savyolovsky railway terminal