Ural Federal University
E215436
Ural Federal University is one of Russia’s largest and leading public research universities, located in Yekaterinburg and known for its strong engineering, technical, and applied science programs.
All labels observed (6)
How this entity was disambiguated
This entity first appeared as the object of triple T1756798 — 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: Ural Federal University Context triple: [Yekaterinburg, hasUniversity, Ural Federal University]
-
A.
Kazan University
Kazan University is a historic Russian institution of higher education known for its influential role in Russian intellectual life and for having educated figures such as Vladimir Lenin.
-
B.
Tomsk University
Tomsk University is a historic Russian higher education and research institution located in the Siberian city of Tomsk.
-
C.
Peoples’ Friendship University of Russia
Peoples’ Friendship University of Russia is a major Moscow-based public research university known for its international student body and focus on fostering cooperation among nations.
-
D.
Tver State University
Tver State University is a major public higher education institution in the Russian city of Tver, offering a wide range of academic programs and research activities.
-
E.
Rostov State University
Rostov State University is a Russian higher education institution known for its strong academic programs and as an alma mater of Nobel Prize–winning writer Alexander Solzhenitsyn.
- 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: Ural Federal University Target entity description: Ural Federal University is one of Russia’s largest and leading public research universities, located in Yekaterinburg and known for its strong engineering, technical, and applied science programs.
-
A.
Kazan University
Kazan University is a historic Russian institution of higher education known for its influential role in Russian intellectual life and for having educated figures such as Vladimir Lenin.
-
B.
Tomsk University
Tomsk University is a historic Russian higher education and research institution located in the Siberian city of Tomsk.
-
C.
Peoples’ Friendship University of Russia
Peoples’ Friendship University of Russia is a major Moscow-based public research university known for its international student body and focus on fostering cooperation among nations.
-
D.
Tver State University
Tver State University is a major public higher education institution in the Russian city of Tver, offering a wide range of academic programs and research activities.
-
E.
Rostov State University
Rostov State University is a Russian higher education institution known for its strong academic programs and as an alma mater of Nobel Prize–winning writer Alexander Solzhenitsyn.
- F. None of above. chosen
Statements (50)
| Predicate | Object |
|---|---|
| instanceOf |
federal university
ⓘ
public research university ⓘ |
| affiliatedWith | Ministry of Science and Higher Education of the Russian Federation ⓘ |
| alsoOffersProgramsInLanguage | English ⓘ |
| collaboratesWith | Ural industrial enterprises ⓘ |
| country | Russia ⓘ |
| establishedIn | 1920 ⓘ |
| formedByMergerOf |
Ural Federal University
self-linksurface differs
ⓘ
surface form:
Ural State Technical University
Ural Federal University self-linksurface differs ⓘ
surface form:
Ural State University
|
| fundingType | state-funded ⓘ |
| hasAcademicStaff | over 4000 ⓘ |
| hasCampus | main campus in Yekaterinburg ⓘ |
| hasFormerName |
Ural Federal University
self-linksurface differs
ⓘ
surface form:
Ural State Technical University
Ural Federal University self-linksurface differs ⓘ
surface form:
Ural State University
|
| hasInternationalStudents | yes ⓘ |
| hasRector | Victor Koksharov NERFINISHED ⓘ |
| hasResearchFocus |
advanced engineering technologies
ⓘ
energy and power engineering ⓘ information technologies ⓘ materials and metallurgy ⓘ nuclear and radiation technologies ⓘ |
| hasStrongProgramIn |
applied sciences
ⓘ
economics ⓘ engineering ⓘ humanities ⓘ information technology ⓘ materials science ⓘ natural sciences ⓘ nuclear engineering ⓘ power engineering ⓘ technical sciences ⓘ |
| hasStudentEnrollment | over 35000 ⓘ |
| languageOfInstruction | Russian ⓘ |
| locatedIn |
Sverdlovsk Oblast
NERFINISHED
ⓘ
Ural Federal District ⓘ Yekaterinburg ⓘ |
| locatedOn |
Ural Mountains
ⓘ
surface form:
Ural Mountains region
|
| memberOf |
Association of Global Universities (Russia)
ⓘ
Russian Academic Excellence Project 5-100 (historically associated) ⓘ
surface form:
Russian Academic Excellence Project 5-100 participants (historically)
|
| mergerCompletedIn | 2011 ⓘ |
| namedAfter | Boris Yeltsin ⓘ |
| nativeName |
Ural Federal University
self-linksurface differs
ⓘ
surface form:
Уральский федеральный университет имени первого Президента России Б. Н. Ельцина
|
| offersDegree |
bachelor’s degree
ⓘ
doctoral degree ⓘ master’s degree ⓘ |
| rankedIn |
QS World University Rankings
ⓘ
Times Higher Education World University Rankings ⓘ |
| regionallySignificantFor | industrial collaboration in the Urals ⓘ |
| shortName | UrFU ⓘ |
| type | public university ⓘ |
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: Ural Federal University Description of subject: Ural Federal University is one of Russia’s largest and leading public research universities, located in Yekaterinburg and known for its strong engineering, technical, and applied science programs.
Referenced by (14)
Full triples — surface form annotated when it differs from this entity's canonical label.
this entity surface form:
Ural Polytechnic Institute
this entity surface form:
Ural State Technical University
this entity surface form:
Уральский федеральный университет имени первого Президента России Б. Н. Ельцина
this entity surface form:
Ural State Technical University
this entity surface form:
Ural State University
this entity surface form:
Ural State Technical University
this entity surface form:
Ural State University
this entity surface form:
Ural State Technical University
this entity surface form:
Ural Federal University named after the first President of Russia B. N. Yeltsin
this entity surface form:
Ural State University