Kursk State Medical University
E1022190
Kursk State Medical University is a major Russian medical university known for training healthcare professionals and offering a wide range of medical and pharmaceutical programs, including for international students.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Kursk State Medical University canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T13137317 — 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: Kursk State Medical University Context triple: [Kursk, hasHigherEducationInstitution, Kursk State Medical University]
-
A.
Stavropol State Medical University
Stavropol State Medical University is a major Russian medical university known for training healthcare professionals and conducting medical research in the city of Stavropol.
-
B.
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.
-
C.
Rostov State Medical University
Rostov State Medical University is a major Russian medical university located in Rostov-on-Don, known for training healthcare professionals and conducting medical research.
-
D.
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.
-
E.
Voronezh State Medical University
Voronezh State Medical University is a major Russian medical higher education institution known for training physicians and healthcare professionals 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: Kursk State Medical University Target entity description: Kursk State Medical University is a major Russian medical university known for training healthcare professionals and offering a wide range of medical and pharmaceutical programs, including for international students.
-
A.
Stavropol State Medical University
Stavropol State Medical University is a major Russian medical university known for training healthcare professionals and conducting medical research in the city of Stavropol.
-
B.
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.
-
C.
Rostov State Medical University
Rostov State Medical University is a major Russian medical university located in Rostov-on-Don, known for training healthcare professionals and conducting medical research.
-
D.
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.
-
E.
Voronezh State Medical University
Voronezh State Medical University is a major Russian medical higher education institution known for training physicians and healthcare professionals and conducting biomedical research.
- F. None of above. chosen
Statements (47)
| Predicate | Object |
|---|---|
| instanceOf |
medical university
ⓘ
public university ⓘ |
| country | Russia ⓘ |
| fieldOfStudy |
healthcare
ⓘ
medicine ⓘ pharmacy ⓘ public health ⓘ |
| hasDiscipline |
basic medical sciences
ⓘ
clinical medicine ⓘ pharmaceutical sciences ⓘ preventive medicine ⓘ public health management ⓘ |
| hasEducationalLevel |
graduate
ⓘ
postgraduate ⓘ undergraduate ⓘ |
| hasFacilityType |
clinical departments
ⓘ
research laboratories ⓘ teaching hospital ⓘ |
| hasFocus |
training dentists
ⓘ
training other healthcare professionals ⓘ training pharmacists ⓘ training physicians ⓘ |
| hasStudentType |
domestic students
ⓘ
international students ⓘ |
| languageOfInstruction |
English
ⓘ
Russian ⓘ |
| locatedIn |
European Russia
ⓘ
Kursk ⓘ Kursk Oblast ⓘ |
| offersProgram |
clinical internship
ⓘ
dentistry ⓘ general medicine ⓘ nursing ⓘ pediatrics ⓘ pharmacy ⓘ postgraduate medical education ⓘ residency training ⓘ |
| recruitmentFocus |
international medical students
ⓘ
students from developing countries ⓘ |
| regionServed |
Kursk Oblast
ⓘ
Russia ⓘ international students ⓘ |
| sector | higher education ⓘ |
| specializesIn |
medical education
ⓘ
pharmaceutical education ⓘ training healthcare professionals ⓘ |
| typeOfInstitution | state 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: Kursk State Medical University Description of subject: Kursk State Medical University is a major Russian medical university known for training healthcare professionals and offering a wide range of medical and pharmaceutical programs, including for international students.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.