Yaropolch
E731516
Yaropolch is a village in Russia historically noted as the place where Ukrainian Hetman Petro Doroshenko died.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Yaropolch canonical | 2 |
How this entity was disambiguated
This entity first appeared as the object of triple T8411245 — 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: Yaropolch Context triple: [Petro Doroshenko, deathPlace, Yaropolch]
-
A.
Ivanychi
Ivanychi is a small urban-type settlement in western Ukraine that serves as a local administrative and community center within Volyn Oblast.
-
B.
Khovrino
Khovrino is a Moscow Metro station serving as the northern terminus of the Zamoskvoretskaya Line.
-
C.
Zolotonosha
Zolotonosha is a historic town in central Ukraine, located in the Cherkasy region on the banks of the Zolotonoshka River.
-
D.
Zhmerynka
Zhmerynka is a city in central Ukraine known as an important regional railway junction and administrative center.
-
E.
Balya
Balya is a small town and district in western Turkey known historically for its mining activities and rural character.
- 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: Yaropolch Target entity description: Yaropolch is a village in Russia historically noted as the place where Ukrainian Hetman Petro Doroshenko died.
-
A.
Ivanychi
Ivanychi is a small urban-type settlement in western Ukraine that serves as a local administrative and community center within Volyn Oblast.
-
B.
Khovrino
Khovrino is a Moscow Metro station serving as the northern terminus of the Zamoskvoretskaya Line.
-
C.
Zolotonosha
Zolotonosha is a historic town in central Ukraine, located in the Cherkasy region on the banks of the Zolotonoshka River.
-
D.
Zhmerynka
Zhmerynka is a city in central Ukraine known as an important regional railway junction and administrative center.
-
E.
Balya
Balya is a small town and district in western Turkey known historically for its mining activities and rural character.
- F. None of above. chosen
Statements (12)
| Predicate | Object |
|---|---|
| instanceOf |
Hetman of the Cossack Hetmanate
ⓘ
person ⓘ village ⓘ |
| country | Russia ⓘ |
| countryOfCitizenship | Cossack Hetmanate NERFINISHED ⓘ |
| ethnicGroup | Ukrainian ⓘ |
| hasHeritage | historical significance related to Ukrainian Cossack history ⓘ |
| locatedIn | Russia ⓘ |
| locatedInAdministrativeTerritorialEntity | Russian Empire NERFINISHED ⓘ |
| notableConnection | Yaropolch NERFINISHED ⓘ |
| notableEvent | death of Petro Doroshenko ⓘ |
| placeOfDeath | Yaropolch NERFINISHED ⓘ |
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: Yaropolch Description of subject: Yaropolch is a village in Russia historically noted as the place where Ukrainian Hetman Petro Doroshenko died.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.