Ondokuz Mayıs University Medical Faculty Hospital

E770807

research hospital teaching hospital

Ondokuz Mayıs University Medical Faculty Hospital is a major teaching and research hospital in Turkey that provides comprehensive medical services while training future healthcare professionals.

Try in SPARQL Jump to: Surface forms Statements Elicitation Referenced by

All labels observed (1)

Label	Occurrences
Ondokuz Mayıs University Medical Faculty Hospital canonical	1

Statements (43)

Predicate	Object
instanceOf	research hospital ⓘ teaching hospital ⓘ
affiliatedWith	Ondokuz Mayıs University NERFINISHED ⓘ Ondokuz Mayıs University Faculty of Medicine NERFINISHED ⓘ
country	Turkey ⓘ
function	clinical research ⓘ medical education ⓘ specialized medical care ⓘ tertiary healthcare services ⓘ
hasDepartment	anesthesiology and reanimation ⓘ cardiology ⓘ emergency medicine ⓘ general surgery ⓘ internal medicine ⓘ obstetrics and gynecology ⓘ orthopedics ⓘ pediatrics ⓘ radiology ⓘ
hasRole	referral center ⓘ training center for healthcare professionals ⓘ
locatedIn	Black Sea Region NERFINISHED ⓘ Samsun NERFINISHED ⓘ Turkey ⓘ
offersService	diagnostic imaging ⓘ emergency services ⓘ inpatient care ⓘ intensive care ⓘ laboratory services ⓘ outpatient care ⓘ surgical services ⓘ
operatedBy	Ondokuz Mayıs University NERFINISHED ⓘ
partOf	Ondokuz Mayıs University health campus NERFINISHED ⓘ
primaryLanguage	Turkish ⓘ
regionServed	Black Sea Region of Turkey NERFINISHED ⓘ Samsun Province NERFINISHED ⓘ
researchFocus	clinical medicine ⓘ medical education ⓘ public health ⓘ
sector	public healthcare ⓘ
trains	allied health professionals ⓘ medical students ⓘ nurses ⓘ resident physicians ⓘ

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: Ondokuz Mayıs University Medical Faculty Hospital
Description of subject: Ondokuz Mayıs University Medical Faculty Hospital is a major teaching and research hospital in Turkey that provides comprehensive medical services while training future healthcare professionals.

Referenced by (1)

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

Ondokuz Mayıs University → hasHospital → Ondokuz Mayıs University Medical Faculty Hospital ⓘ