Frunzenskaya–Nyamiha interchange
E793636
Frunzenskaya–Nyamiha interchange is a major transfer hub in the Minsk Metro system connecting key central lines for passenger transfers.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Frunzenskaya–Nyamiha interchange canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T9313925 — 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: Frunzenskaya–Nyamiha interchange Context triple: [Minsk Metro, hasInterchangeStation, Frunzenskaya–Nyamiha interchange]
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A.
Ōiso Interchange
Ōiso Interchange is a highway junction in Ōiso, Kanagawa Prefecture, Japan, connecting local roads with the regional expressway network.
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B.
Ritto Interchange
Ritto Interchange is a highway junction in Ritto, Shiga Prefecture, Japan, providing access to and from the Meishin Expressway.
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C.
Simister Island interchange
Simister Island interchange is a major motorway junction near Manchester, England, where several key routes including the M60 and M62 converge.
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D.
Sinsen Interchange
Sinsen Interchange is a major multi-level road junction in Oslo, Norway, serving as a key traffic hub connecting several important highways and city routes.
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E.
Nelson Interchange
Nelson Interchange is the main bus and transport hub serving the town of Nelson, providing connections for local and regional public transit services.
- 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: Frunzenskaya–Nyamiha interchange Target entity description: Frunzenskaya–Nyamiha interchange is a major transfer hub in the Minsk Metro system connecting key central lines for passenger transfers.
-
A.
Ōiso Interchange
Ōiso Interchange is a highway junction in Ōiso, Kanagawa Prefecture, Japan, connecting local roads with the regional expressway network.
-
B.
Ritto Interchange
Ritto Interchange is a highway junction in Ritto, Shiga Prefecture, Japan, providing access to and from the Meishin Expressway.
-
C.
Simister Island interchange
Simister Island interchange is a major motorway junction near Manchester, England, where several key routes including the M60 and M62 converge.
-
D.
Sinsen Interchange
Sinsen Interchange is a major multi-level road junction in Oslo, Norway, serving as a key traffic hub connecting several important highways and city routes.
-
E.
Nelson Interchange
Nelson Interchange is the main bus and transport hub serving the town of Nelson, providing connections for local and regional public transit services.
- F. None of above. chosen
Statements (15)
| Predicate | Object |
|---|---|
| instanceOf |
metro interchange
ⓘ
transport hub ⓘ |
| connectsLine |
Minsk Metro Aŭtazavodskaja line
NERFINISHED
ⓘ
Minsk Metro Maskoŭskaja line NERFINISHED ⓘ |
| connectsStation |
Frunzenskaya
NERFINISHED
ⓘ
Nyamiha NERFINISHED ⓘ |
| function | passenger transfer ⓘ |
| hasCountry | Belarus NERFINISHED ⓘ |
| hasStructureType | underground interchange ⓘ |
| isMajorHubIn | Minsk Metro NERFINISHED ⓘ |
| locatedIn |
Belarus
NERFINISHED
ⓘ
Minsk NERFINISHED ⓘ |
| locatedInArea | city centre of Minsk ⓘ |
| partOf | Minsk Metro NERFINISHED ⓘ |
| servesRole | central transfer hub ⓘ |
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: Frunzenskaya–Nyamiha interchange Description of subject: Frunzenskaya–Nyamiha interchange is a major transfer hub in the Minsk Metro system connecting key central lines for passenger transfers.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.