Tyumen State Medical University
E845030
Tyumen State Medical University is a Russian higher education institution specializing in medical and healthcare training and research, located in the city of Tyumen.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Tyumen State Medical University canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T10153423 — 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: Tyumen State Medical University Context triple: [Tyumen, hasHigherEducationInstitution, Tyumen State Medical University]
-
A.
Siberian State Medical University
Siberian State Medical University is a major Russian medical higher education and research institution located in Tomsk, known for training healthcare professionals for Siberia and beyond.
-
B.
Amur State Medical Academy
Amur State Medical Academy is a Russian medical university located in Blagoveshchensk that trains healthcare professionals and conducts medical research.
-
C.
Tyumen State University
Tyumen State University is a major public research and educational institution in Tyumen, Russia, offering a wide range of undergraduate and graduate programs across various disciplines.
-
D.
Kemerovo State Medical University
Kemerovo State Medical University is a Russian higher education institution specializing in medical and healthcare training and research, located in the city of Kemerovo.
-
E.
Kazan State Medical University
Kazan State Medical University is a major Russian medical higher education institution located in Kazan, known for training physicians and medical specialists and conducting biomedical research.
- 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: Tyumen State Medical University Target entity description: Tyumen State Medical University is a Russian higher education institution specializing in medical and healthcare training and research, located in the city of Tyumen.
-
A.
Siberian State Medical University
Siberian State Medical University is a major Russian medical higher education and research institution located in Tomsk, known for training healthcare professionals for Siberia and beyond.
-
B.
Amur State Medical Academy
Amur State Medical Academy is a Russian medical university located in Blagoveshchensk that trains healthcare professionals and conducts medical research.
-
C.
Tyumen State University
Tyumen State University is a major public research and educational institution in Tyumen, Russia, offering a wide range of undergraduate and graduate programs across various disciplines.
-
D.
Kemerovo State Medical University
Kemerovo State Medical University is a Russian higher education institution specializing in medical and healthcare training and research, located in the city of Kemerovo.
-
E.
Kazan State Medical University
Kazan State Medical University is a major Russian medical higher education institution located in Kazan, known for training physicians and medical specialists and conducting biomedical research.
- F. None of above. chosen
Statements (48)
| Predicate | Object |
|---|---|
| instanceOf |
higher education institution
ⓘ
public medical university ⓘ |
| academicDiscipline |
clinical psychology
ⓘ
dentistry ⓘ general medicine ⓘ nursing ⓘ pediatrics ⓘ pharmacy ⓘ preventive medicine ⓘ public health ⓘ |
| country | Russia ⓘ |
| educationLevel | tertiary education ⓘ |
| focus |
biomedical research
ⓘ
clinical research ⓘ healthcare workforce development ⓘ public health research ⓘ training medical specialists ⓘ |
| governedBy |
Ministry of Health of the Russian Federation
NERFINISHED
ⓘ
Ministry of Science and Higher Education of the Russian Federation NERFINISHED ⓘ |
| grantsDegree |
Bachelor of Nursing
ⓘ
Dentistry degree ⓘ MD ⓘ Pharmacy degree ⓘ |
| hasFacility |
clinical departments
ⓘ
research laboratories ⓘ simulation training center ⓘ teaching hospital ⓘ |
| hasType | state university ⓘ |
| languageOfInstruction | Russian ⓘ |
| locatedIn |
Tyumen
NERFINISHED
ⓘ
Tyumen Oblast NERFINISHED ⓘ Ural Federal District NERFINISHED ⓘ Western Siberia NERFINISHED ⓘ |
| mission |
advancing medical science in Russia
ⓘ
improving regional healthcare system ⓘ training qualified healthcare professionals ⓘ |
| offersProgram |
clinical internship
ⓘ
postgraduate medical programs ⓘ residency training ⓘ undergraduate medical programs ⓘ |
| regionServed |
Siberia
NERFINISHED
ⓘ
Tyumen Oblast NERFINISHED ⓘ Ural Federal District NERFINISHED ⓘ |
| sector | public ⓘ |
| specializesIn |
healthcare
ⓘ
medical education ⓘ medical research ⓘ medicine ⓘ |
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: Tyumen State Medical University Description of subject: Tyumen State Medical University is a Russian higher education institution specializing in medical and healthcare training and research, located in the city of Tyumen.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.