Siberian Federal University
E704219
Siberian Federal University is a major public research and educational institution in Russia, known for serving as a leading academic center in the Siberian region.
All labels observed (2)
| Label | Occurrences |
|---|---|
| Siberian Federal University canonical | 3 |
| Сибирский федеральный университет | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T8002828 — 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: Siberian Federal University Context triple: [Krasnoyarsk, hasUniversity, Siberian Federal University]
-
A.
Ural Federal University
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.
-
B.
Irkutsk State University
Irkutsk State University is a major public higher education and research institution located in the Siberian city of Irkutsk, Russia.
-
C.
Novosibirsk State University
Novosibirsk State University is a leading Russian research university in Novosibirsk, renowned for its strong programs in mathematics, physics, and computer science and its close ties to the Siberian Branch of the Russian Academy of Sciences.
-
D.
Tomsk University
Tomsk University is a historic Russian higher education and research institution located in the Siberian city of Tomsk.
-
E.
Irkutsk National Research Technical University
Irkutsk National Research Technical University is a major Russian technical university and research institution located in the city of Irkutsk in Eastern Siberia.
- 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: Siberian Federal University Target entity description: Siberian Federal University is a major public research and educational institution in Russia, known for serving as a leading academic center in the Siberian region.
-
A.
Ural Federal University
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.
-
B.
Irkutsk State University
Irkutsk State University is a major public higher education and research institution located in the Siberian city of Irkutsk, Russia.
-
C.
Novosibirsk State University
Novosibirsk State University is a leading Russian research university in Novosibirsk, renowned for its strong programs in mathematics, physics, and computer science and its close ties to the Siberian Branch of the Russian Academy of Sciences.
-
D.
Tomsk University
Tomsk University is a historic Russian higher education and research institution located in the Siberian city of Tomsk.
-
E.
Irkutsk National Research Technical University
Irkutsk National Research Technical University is a major Russian technical university and research institution located in the city of Irkutsk in Eastern Siberia.
- F. None of above. chosen
Statements (48)
| Predicate | Object |
|---|---|
| instanceOf |
federal university
ⓘ
public research university ⓘ |
| abbreviation | SFU ⓘ |
| academicFocus |
economics
ⓘ
engineering ⓘ environmental studies ⓘ humanities ⓘ information technology ⓘ natural sciences ⓘ |
| continent |
Asia
ⓘ
Europe ⓘ |
| country | Russia ⓘ |
| fundingType | public ⓘ |
| governedBy | Ministry of Science and Higher Education of the Russian Federation ⓘ |
| hasCampus | urban campus ⓘ |
| hasFacility |
libraries
ⓘ
research laboratories ⓘ student dormitories ⓘ |
| hasResearchActivity |
applied research
ⓘ
innovation projects ⓘ scientific research ⓘ |
| hasStaff |
academic staff
ⓘ
administrative staff ⓘ research staff ⓘ |
| hasStudentBody |
postgraduate students
ⓘ
undergraduate students ⓘ |
| languageOfInstruction |
English
ⓘ
Russian ⓘ |
| locatedIn | Krasnoyarsk ⓘ |
| locatedInFederalSubject |
Krasnoyarsk Krai
ⓘ
linked to:
Krasnoyarsk Krai, Russia
|
| locatedInRegion | Siberia ⓘ |
| mission |
education
ⓘ
innovation ⓘ regional development ⓘ research ⓘ |
| nativeName |
Сибирский федеральный университет
ⓘ
linked to:
Siberian Federal University
|
| nativeNameLanguage | Russian ⓘ |
| offersDegree |
bachelor's degree
ⓘ
doctoral degree ⓘ master's degree ⓘ |
| partOf | Russian higher education system ⓘ |
| role |
major academic center in Siberia
ⓘ
regional research hub ⓘ |
| sector | higher education ⓘ |
| servesRegion | Siberian Federal District ⓘ |
| shortName | SibFU ⓘ |
| type |
public university
ⓘ
research 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: Siberian Federal University Description of subject: Siberian Federal University is a major public research and educational institution in Russia, known for serving as a leading academic center in the Siberian region.
Referenced by (4)
Full triples — surface form annotated when it differs from this entity's canonical label.