LSMU

E406202

LSMU is a leading Lithuanian university specializing in health sciences, medicine, and related biomedical fields.

Try in SPARQL Jump to: Surface forms Statements Referenced by

All labels observed (1)

Label Occurrences
LSMU canonical 2

Statements (49)

Predicate Object
instanceOf medical university
university
abbreviation LSMU self-link
affiliation Erasmus+ programme
European University Association
country Lithuania
fieldOfStudy animal science
dentistry
medicine
nursing
pharmacy
public health
veterinary medicine
focus biomedical research
clinical training
public health education
formedByMergerOf Lithuanian University of Health Sciences
surface form: Kaunas University of Medicine

Lithuanian University of Health Sciences Faculty of Animal Sciences
surface form: Lithuanian Veterinary Academy
fullName Lithuanian University of Health Sciences
hasCampus Kaunas campus
hasFaculty Faculty of Animal Science
Faculty of Medicine
Faculty of Nursing
Faculty of Odontology
Faculty of Pharmacy
Faculty of Public Health
Faculty of Veterinary Medicine
hasHospital Kaunas Red Cross Clinical Hospital
surface form: Kaunas Clinics

Kaunas Red Cross Clinical Hospital
surface form: Kaunas Red Cross Hospital
languageOfInstruction English
Lithuanian
locatedIn Kaunas
nativeName Lithuanian University of Health Sciences
surface form: Lietuvos sveikatos mokslų universitetas
offersDegree bachelor’s degree
doctoral degree
master’s degree
offersProgram Medicine (MD)
Nursing
Odontology
Pharmacy
Public Health
Veterinary Medicine
regionServed Baltic states
European Union
sector higher education
specialization biomedical sciences
health sciences
medicine
type public 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: LSMU
Description of subject: LSMU is a leading Lithuanian university specializing in health sciences, medicine, and related biomedical fields.

Referenced by (2)

Full triples — surface form annotated when it differs from this entity's canonical label.