Medical Academy named after S. I. Georgievsky
E327306
The Medical Academy named after S. I. Georgievsky is a major medical education and research institution in Crimea, training physicians and healthcare professionals within the structure of Crimean Federal University.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Medical Academy named after S. I. Georgievsky canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T3103872 — 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: Medical Academy named after S. I. Georgievsky Context triple: [Crimean Federal University, hasFaculty, Medical Academy named after S. I. Georgievsky]
-
A.
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.
-
B.
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.
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C.
Nizhny Novgorod State Medical Academy
Nizhny Novgorod State Medical Academy is a major Russian medical university known for training healthcare professionals and conducting medical research in the city of Nizhny Novgorod.
-
D.
Volgograd State Medical University
Volgograd State Medical University is a major Russian medical higher education institution in Volgograd, known for training physicians and healthcare professionals and for its clinical and research activities.
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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: Medical Academy named after S. I. Georgievsky Target entity description: The Medical Academy named after S. I. Georgievsky is a major medical education and research institution in Crimea, training physicians and healthcare professionals within the structure of Crimean Federal University.
-
A.
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.
-
B.
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.
-
C.
Nizhny Novgorod State Medical Academy
Nizhny Novgorod State Medical Academy is a major Russian medical university known for training healthcare professionals and conducting medical research in the city of Nizhny Novgorod.
-
D.
Volgograd State Medical University
Volgograd State Medical University is a major Russian medical higher education institution in Volgograd, known for training physicians and healthcare professionals and for its clinical and research activities.
-
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 |
faculty of Crimean Federal University
ⓘ
medical school ⓘ research institution ⓘ |
| country | Russia ⓘ |
| engagesIn |
clinical research
ⓘ
medical research ⓘ |
| fieldOfStudy |
health sciences
ⓘ
medicine ⓘ |
| focusesOn |
training healthcare professionals
ⓘ
training physicians ⓘ |
| hasAcademicDiscipline |
anatomy
ⓘ
anesthesiology and intensive care ⓘ biochemistry ⓘ cardiology ⓘ clinical medicine ⓘ dentistry ⓘ dermatology ⓘ general medicine ⓘ infectious diseases ⓘ internal medicine ⓘ microbiology ⓘ neurology ⓘ nursing ⓘ obstetrics and gynecology ⓘ oncology ⓘ ophthalmology ⓘ otolaryngology ⓘ pathology ⓘ pediatrics ⓘ pharmacology ⓘ pharmacy ⓘ physiology ⓘ psychiatry ⓘ public health ⓘ radiology ⓘ surgery ⓘ |
| languageOfInstruction |
English
ⓘ
Russian ⓘ |
| locatedIn |
Crimea
ⓘ
Simferopol ⓘ |
| namedAfter | Sergey Ivanovich Georgievsky ⓘ |
| offersDegree |
MD
ⓘ
bachelor in nursing ⓘ postgraduate medical specialty degrees ⓘ |
| offersProgram |
postgraduate medical education
ⓘ
residency training ⓘ undergraduate medical education ⓘ |
| partOf | Crimean Federal 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: Medical Academy named after S. I. Georgievsky Description of subject: The Medical Academy named after S. I. Georgievsky is a major medical education and research institution in Crimea, training physicians and healthcare professionals within the structure of Crimean Federal University.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.