Dobryanka
E837438
Dobryanka is a small industrial town in Perm Krai, Russia, situated on the banks of the Kama River and known historically for its power and manufacturing industries.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Dobryanka canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T9874901 — 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: Dobryanka Context triple: [Perm Krai, hasCity, Dobryanka]
-
A.
Voykovskaya
Voykovskaya is a Moscow Metro station serving the Zamoskvoretskaya Line in the northern part of the city.
-
B.
Tarasova
Tarasova is a Russian surname most prominently associated with Tatiana Tarasova, a renowned figure skating coach and former competitor.
-
C.
Dobryninskaya
Dobryninskaya is a Moscow Metro station on the circular Koltsevaya Line, known for its Stalinist-era architecture and central location.
-
D.
Zhukovka
Zhukovka is a rural locality in Moscow Oblast, Russia, situated within the Odintsovsky District and known primarily as a residential settlement near Moscow.
-
E.
Bogdanovka
Bogdanovka is a village in Ukraine known as the site of a World War II massacre of Jews and now commemorated as a Holocaust memorial location.
- 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: Dobryanka Target entity description: Dobryanka is a small industrial town in Perm Krai, Russia, situated on the banks of the Kama River and known historically for its power and manufacturing industries.
-
A.
Voykovskaya
Voykovskaya is a Moscow Metro station serving the Zamoskvoretskaya Line in the northern part of the city.
-
B.
Tarasova
Tarasova is a Russian surname most prominently associated with Tatiana Tarasova, a renowned figure skating coach and former competitor.
-
C.
Dobryninskaya
Dobryninskaya is a Moscow Metro station on the circular Koltsevaya Line, known for its Stalinist-era architecture and central location.
-
D.
Zhukovka
Zhukovka is a rural locality in Moscow Oblast, Russia, situated within the Odintsovsky District and known primarily as a residential settlement near Moscow.
-
E.
Bogdanovka
Bogdanovka is a village in Ukraine known as the site of a World War II massacre of Jews and now commemorated as a Holocaust memorial location.
- F. None of above. chosen
Statements (30)
| Predicate | Object |
|---|---|
| instanceOf |
town
ⓘ
urban locality ⓘ |
| administrativeCenterOf | Dobryansky District ⓘ |
| climate | continental climate ⓘ |
| country | Russia ⓘ |
| federalSubject | Perm Krai ⓘ |
| hasIndustry |
chemical industry
ⓘ
manufacturing industry ⓘ power industry ⓘ timber industry ⓘ |
| hasLanguage | Russian ⓘ |
| hasNameInRussian | Добря́нка ⓘ |
| hasPowerPlant | Perm GRES ⓘ |
| hasSettlementType | town ⓘ |
| historicallyKnownFor |
manufacturing industry
ⓘ
power industry ⓘ |
| locatedIn |
European part of Russia
ⓘ
Perm Krai ⓘ Russia ⓘ Ural economic region ⓘ
linked to:
Ural region
Volga–Kama basin ⓘ
linked to:
Volga–Kama river system
|
| locatedInTimeZone | Yekaterinburg Time ⓘ |
| locatedOnRiver | Kama River ⓘ |
| locatedOnWaterbody | Kama Reservoir ⓘ |
| nearCity | Perm ⓘ |
| partOf | Dobryansky District ⓘ |
| regionType | industrial town ⓘ |
| transportConnection |
river transport on Kama River
ⓘ
road connection to Perm ⓘ |
| utcOffset | +5 ⓘ |
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: Dobryanka Description of subject: Dobryanka is a small industrial town in Perm Krai, Russia, situated on the banks of the Kama River and known historically for its power and manufacturing industries.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.