Udomelsky District
E1015006
Udomelsky District is an administrative district in Tver Oblast, Russia, centered around the town of Udomlya and known for its industrial facilities and surrounding lakes and forests.
All labels observed (4)
| Label | Occurrences |
|---|---|
| Udomelsky District canonical | 4 |
| Udomlya District | 1 |
| Udomlya district | 1 |
| Удомельский район | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T11783146 — 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: Udomelsky District Context triple: [Udomlya, administrativeDivision, Udomelsky District]
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A.
Volkhovsky District
Volkhovsky District is an administrative and municipal district in northwestern Russia, known for its location along the Volkhov River and its historical and industrial significance within Leningrad Oblast.
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B.
Kalachyovsky District
Kalachyovsky District is an administrative district in Volgograd Oblast, Russia, known for encompassing the town of Kalach-na-Donu and its surrounding rural areas.
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C.
Danilovsky District
Danilovsky District is a central administrative district of Moscow, Russia, known for its historic religious sites, including the Danilov Monastery, and its mix of residential, cultural, and commercial areas.
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D.
Tikhvinsky District
Tikhvinsky District is an administrative and municipal district in Leningrad Oblast, Russia, known for its historical towns and location in the eastern part of the region.
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E.
Kholmsky District
Kholmsky District is an administrative district in Russia for which the town of Kholmsk serves as the administrative center.
- 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: Udomelsky District Target entity description: Udomelsky District is an administrative district in Tver Oblast, Russia, centered around the town of Udomlya and known for its industrial facilities and surrounding lakes and forests.
-
A.
Volkhovsky District
Volkhovsky District is an administrative and municipal district in northwestern Russia, known for its location along the Volkhov River and its historical and industrial significance within Leningrad Oblast.
-
B.
Kalachyovsky District
Kalachyovsky District is an administrative district in Volgograd Oblast, Russia, known for encompassing the town of Kalach-na-Donu and its surrounding rural areas.
-
C.
Danilovsky District
Danilovsky District is a central administrative district of Moscow, Russia, known for its historic religious sites, including the Danilov Monastery, and its mix of residential, cultural, and commercial areas.
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D.
Tikhvinsky District
Tikhvinsky District is an administrative and municipal district in Leningrad Oblast, Russia, known for its historical towns and location in the eastern part of the region.
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E.
Kholmsky District
Kholmsky District is an administrative district in Russia for which the town of Kholmsk serves as the administrative center.
- 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: Udomelsky District Description of subject: Udomelsky District is an administrative district in Tver Oblast, Russia, centered around the town of Udomlya and known for its industrial facilities and surrounding lakes and forests.
Referenced by (7)
Full triples — surface form annotated when it differs from this entity's canonical label.
linked to: Udomelsky District
linked to: Udomelsky District