Pirogov National Medical University
E841404
Pirogov National Medical University is a major medical university in Vinnytsia, Ukraine, known for training healthcare professionals and conducting medical research.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Pirogov National Medical University canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T10083070 — 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: Pirogov National Medical University Context triple: [Vinnytsia, hasHigherEducationInstitution, Pirogov National Medical University]
-
A.
Bogomolets National Medical University
Bogomolets National Medical University is a leading medical university in Kyiv, Ukraine, renowned for training physicians and medical specialists.
-
B.
Kharkiv National Medical University
Kharkiv National Medical University is a major Ukrainian medical school known for training physicians and medical specialists and for its role as a leading center of medical education and research in Kharkiv.
-
C.
Odesa National Medical University
Odesa National Medical University is a major Ukrainian medical school and research institution located in the port city of Odesa, known for training physicians and healthcare professionals.
-
D.
Dnipro State Medical University
Dnipro State Medical University is a major Ukrainian higher education institution specializing in medical and healthcare training and research, located in the city of Dnipro.
-
E.
Ternopil State Medical University
Ternopil State Medical University is a Ukrainian higher education institution specializing in medical and health sciences, located in the city of Ternopil.
- 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: Pirogov National Medical University Target entity description: Pirogov National Medical University is a major medical university in Vinnytsia, Ukraine, known for training healthcare professionals and conducting medical research.
-
A.
Bogomolets National Medical University
Bogomolets National Medical University is a leading medical university in Kyiv, Ukraine, renowned for training physicians and medical specialists.
-
B.
Kharkiv National Medical University
Kharkiv National Medical University is a major Ukrainian medical school known for training physicians and medical specialists and for its role as a leading center of medical education and research in Kharkiv.
-
C.
Odesa National Medical University
Odesa National Medical University is a major Ukrainian medical school and research institution located in the port city of Odesa, known for training physicians and healthcare professionals.
-
D.
Dnipro State Medical University
Dnipro State Medical University is a major Ukrainian higher education institution specializing in medical and healthcare training and research, located in the city of Dnipro.
-
E.
Ternopil State Medical University
Ternopil State Medical University is a Ukrainian higher education institution specializing in medical and health sciences, located in the city of Ternopil.
- F. None of above. chosen
Statements (48)
| Predicate | Object |
|---|---|
| instanceOf |
higher education institution
ⓘ
medical university ⓘ research institution ⓘ |
| city | Vinnytsia ⓘ |
| country | Ukraine ⓘ |
| fieldOfStudy |
dentistry
ⓘ
medicine ⓘ nursing ⓘ pharmacy ⓘ public health ⓘ |
| focus |
biomedical research
ⓘ
health sciences ⓘ |
| grantsDegree |
DDS
ⓘ
MD ⓘ PhD in medical sciences ⓘ PharmD ⓘ |
| hasActivity |
clinical training
ⓘ
international collaboration ⓘ medical research projects ⓘ scientific conferences ⓘ |
| hasAffiliation |
Ministry of Education and Science of Ukraine
ⓘ
Ministry of Health of Ukraine ⓘ |
| hasCampus | urban campus ⓘ |
| hasFacility |
clinical departments
ⓘ
research laboratories ⓘ simulation center ⓘ teaching hospitals ⓘ |
| hasFaculty |
Faculty of Dentistry
ⓘ
Faculty of General Medicine ⓘ Faculty of Pediatrics ⓘ Faculty of Pharmacy ⓘ Faculty of Postgraduate Education ⓘ |
| hasStudentBody | international students ⓘ |
| hasType | public university ⓘ |
| languageOfInstruction |
English
ⓘ
Ukrainian ⓘ |
| locatedIn | Vinnytsia ⓘ |
| namedAfter | Nikolay Pirogov ⓘ |
| offersProgram |
doctoral studies
ⓘ
postgraduate medical education ⓘ residency training ⓘ undergraduate medical education ⓘ |
| region | Vinnytsia Oblast ⓘ |
| sector | tertiary education ⓘ |
| servesAs |
major medical education center in Vinnytsia
ⓘ
training base for regional healthcare system ⓘ |
| specializesIn |
medical research
ⓘ
training healthcare professionals ⓘ |
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: Pirogov National Medical University Description of subject: Pirogov National Medical University is a major medical university in Vinnytsia, Ukraine, known for training healthcare professionals and conducting medical research.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.