Krasnoyarsk Krai, Russia
E155967
Krasnoyarsk Krai, Russia is a vast federal subject in central Siberia known for its harsh climate, rich natural resources, and extensive taiga and Arctic territories.
All labels observed (4)
| Label | Occurrences |
|---|---|
| Krasnoyarsk Krai | 66 |
| Krasnoyarsk Krai, Russia canonical | 1 |
| Krasnoyarsk region | 1 |
| Northern Krasnoyarsk Krai | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T1035759 — 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: Krasnoyarsk Krai, Russia Context triple: [Konstantin Chernenko, placeOfBirth, Krasnoyarsk Krai, Russia]
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A.
Irkutsk Oblast
Irkutsk Oblast is a large federal subject of Russia in southeastern Siberia, known for its vast taiga landscapes, significant rivers, and proximity to Lake Baikal.
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B.
Yamalo-Nenets Autonomous Okrug
Yamalo-Nenets Autonomous Okrug is a resource-rich federal subject in northwestern Siberia, Russia, known for its large natural gas reserves and significant Indigenous Nenets population.
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C.
Magadan Oblast
Magadan Oblast is a sparsely populated federal subject in Russia’s Far East, known for its harsh climate, remote location on the Sea of Okhotsk, and history as a major center of Soviet-era Gulag labor camps.
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D.
Zabaykalsky Krai
Zabaykalsky Krai is a federal subject of Russia located in southeastern Siberia, bordering Mongolia and China and known for its vast, sparsely populated territory and rich mineral resources.
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E.
Kamchatka Krai
Kamchatka Krai is a remote federal subject of Russia located in the Far East, known for its volcanic landscapes, geothermal activity, and rich wildlife along the Pacific Ring of Fire.
- 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: Krasnoyarsk Krai, Russia Target entity description: Krasnoyarsk Krai, Russia is a vast federal subject in central Siberia known for its harsh climate, rich natural resources, and extensive taiga and Arctic territories.
-
A.
Irkutsk Oblast
Irkutsk Oblast is a large federal subject of Russia in southeastern Siberia, known for its vast taiga landscapes, significant rivers, and proximity to Lake Baikal.
-
B.
Yamalo-Nenets Autonomous Okrug
Yamalo-Nenets Autonomous Okrug is a resource-rich federal subject in northwestern Siberia, Russia, known for its large natural gas reserves and significant Indigenous Nenets population.
-
C.
Magadan Oblast
Magadan Oblast is a sparsely populated federal subject in Russia’s Far East, known for its harsh climate, remote location on the Sea of Okhotsk, and history as a major center of Soviet-era Gulag labor camps.
-
D.
Zabaykalsky Krai
Zabaykalsky Krai is a federal subject of Russia located in southeastern Siberia, bordering Mongolia and China and known for its vast, sparsely populated territory and rich mineral resources.
-
E.
Kamchatka Krai
Kamchatka Krai is a remote federal subject of Russia located in the Far East, known for its volcanic landscapes, geothermal activity, and rich wildlife along the Pacific Ring of Fire.
- F. None of above. chosen
Statements (81)
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: Krasnoyarsk Krai, Russia Description of subject: Krasnoyarsk Krai, Russia is a vast federal subject in central Siberia known for its harsh climate, rich natural resources, and extensive taiga and Arctic territories.
Referenced by (69)
Full triples — surface form annotated when it differs from this entity's canonical label.
this entity surface form:
Krasnoyarsk Krai
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Krasnoyarsk Krai
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Krasnoyarsk Krai
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Krasnoyarsk Krai
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Krasnoyarsk Krai
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Krasnoyarsk Krai
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Krasnoyarsk Krai
this entity surface form:
Krasnoyarsk Krai
this entity surface form:
Krasnoyarsk Krai
this entity surface form:
Krasnoyarsk Krai
this entity surface form:
Krasnoyarsk Krai
this entity surface form:
Krasnoyarsk Krai
this entity surface form:
Krasnoyarsk Krai
this entity surface form:
Krasnoyarsk Krai
this entity surface form:
Krasnoyarsk Krai