VolgSTU
E206107
VolgSTU is a major Russian technical university located in Volgograd, specializing in engineering, technology, and applied sciences.
All labels observed (1)
| Label | Occurrences |
|---|---|
| VolgSTU canonical | 2 |
Statements (36)
| Predicate | Object |
|---|---|
| instanceOf |
technical university
ⓘ
university ⓘ |
| country | Russia ⓘ |
| engagesIn |
applied research
ⓘ
scientific research ⓘ technology development ⓘ |
| focusesOn |
applied sciences education
ⓘ
engineering education ⓘ technical training ⓘ |
| hasAbbreviation | VolgSTU self-link ⓘ |
| hasAcademicFocus |
STEM
ⓘ
technical education ⓘ |
| hasEducationalLevel | tertiary education ⓘ |
| hasLanguageOfInstruction | Russian ⓘ |
| hasRole | major technical university in Russia ⓘ |
| hasType | public university ⓘ |
| locatedIn |
Southern Federal District
ⓘ
Volgograd ⓘ Volgograd Oblast NERFINISHED ⓘ |
| offersFieldOfStudy |
automation and control
ⓘ
civil engineering ⓘ computer science ⓘ electrical engineering ⓘ industrial engineering ⓘ information technology ⓘ materials science ⓘ mechanical engineering ⓘ |
| offersProgramType |
graduate programs
ⓘ
postgraduate programs ⓘ undergraduate programs ⓘ |
| regionServed |
Russia
ⓘ
Volgograd region NERFINISHED ⓘ |
| sector | higher education ⓘ |
| specializesIn |
applied sciences
ⓘ
engineering ⓘ technology ⓘ |
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: VolgSTU Description of subject: VolgSTU is a major Russian technical university located in Volgograd, specializing in engineering, technology, and applied sciences.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.