University Hospital Bonn
E142527
University Hospital Bonn is a major academic medical center in Bonn, Germany, providing advanced clinical care, medical research, and teaching in partnership with the University of Bonn.
All labels observed (2)
| Label | Occurrences |
|---|---|
| University Hospital Bonn canonical | 3 |
| Universitätsklinikum Bonn | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T1244363 — 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: University Hospital Bonn Context triple: [University of Bonn, affiliatedHospital, University Hospital Bonn]
-
A.
Hannover Medical School
Hannover Medical School is a leading German medical university and research institution located in Hanover, renowned for its clinical excellence and biomedical research.
-
B.
Faculty of Medicine Heidelberg
The Faculty of Medicine Heidelberg is the medical school of Heidelberg University, renowned for its research-intensive programs and clinical training in one of Germany’s leading academic medical centers.
-
C.
University Medical Center Göttingen
University Medical Center Göttingen is a major academic teaching hospital and research institution in Göttingen, Germany, providing specialized medical care while supporting clinical education and biomedical research.
-
D.
Charité – Universitätsmedizin Berlin
Charité – Universitätsmedizin Berlin is one of Europe’s largest and most renowned university hospitals, combining cutting-edge medical research, teaching, and patient care in partnership with Berlin’s major universities.
-
E.
Faculty of Medicine Mannheim
The Faculty of Medicine Mannheim is a medical school of Heidelberg University located in Mannheim, Germany, known for its clinical and translational research and training of future physicians.
- 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: University Hospital Bonn Target entity description: University Hospital Bonn is a major academic medical center in Bonn, Germany, providing advanced clinical care, medical research, and teaching in partnership with the University of Bonn.
-
A.
Hannover Medical School
Hannover Medical School is a leading German medical university and research institution located in Hanover, renowned for its clinical excellence and biomedical research.
-
B.
Faculty of Medicine Heidelberg
The Faculty of Medicine Heidelberg is the medical school of Heidelberg University, renowned for its research-intensive programs and clinical training in one of Germany’s leading academic medical centers.
-
C.
University Medical Center Göttingen
University Medical Center Göttingen is a major academic teaching hospital and research institution in Göttingen, Germany, providing specialized medical care while supporting clinical education and biomedical research.
-
D.
Charité – Universitätsmedizin Berlin
Charité – Universitätsmedizin Berlin is one of Europe’s largest and most renowned university hospitals, combining cutting-edge medical research, teaching, and patient care in partnership with Berlin’s major universities.
-
E.
Faculty of Medicine Mannheim
The Faculty of Medicine Mannheim is a medical school of Heidelberg University located in Mannheim, Germany, known for its clinical and translational research and training of future physicians.
- F. None of above. chosen
Statements (55)
| Predicate | Object |
|---|---|
| instanceOf |
academic medical center
ⓘ
university hospital ⓘ |
| affiliatedWith | University of Bonn NERFINISHED ⓘ |
| country | Germany ⓘ |
| employs |
medical students
ⓘ
nurses ⓘ physicians ⓘ researchers ⓘ |
| hasEmergencyService | yes ⓘ |
| hasFunction |
clinical care
ⓘ
medical research ⓘ patient care ⓘ teaching ⓘ |
| hasIntensiveCareUnit | yes ⓘ |
| hasResearchField |
cardiovascular research
ⓘ
genetic medicine ⓘ immunology research ⓘ neurosciences ⓘ oncology research ⓘ |
| hasSpecialty |
anesthesiology
ⓘ
cardiology ⓘ dermatology ⓘ endocrinology ⓘ gastroenterology ⓘ gynecology and obstetrics ⓘ hematology ⓘ immunology ⓘ neonatology ⓘ neurology ⓘ neurosurgery ⓘ oncology ⓘ ophthalmology ⓘ otolaryngology ⓘ pediatrics ⓘ psychiatry ⓘ radiology ⓘ surgery ⓘ transplantation medicine ⓘ urology ⓘ |
| isPublicInstitution | true ⓘ |
| isTeachingHospitalOf | University of Bonn Faculty of Medicine ⓘ |
| languageOfWorkOrName | German ⓘ |
| locatedIn | Bonn ⓘ |
| locatedInAdministrativeTerritory |
North Rhine-Westphalia
ⓘ
surface form:
State of North Rhine-Westphalia
|
| locatedOn | Venusberg, Bonn ⓘ |
| offersDegreeProgram | medical doctorate (Dr. med.) ⓘ |
| offersTrainingProgram |
fellowship programs
ⓘ
residency programs ⓘ |
| officialName |
University Hospital Bonn
self-linksurface differs
ⓘ
surface form:
Universitätsklinikum Bonn
|
| operatesInSector |
biomedical research
ⓘ
healthcare ⓘ medical education ⓘ |
| ownedBy |
North Rhine-Westphalia
ⓘ
surface form:
State of North Rhine-Westphalia
|
| partOf | University of Bonn NERFINISHED ⓘ |
| shortName | UKB ⓘ |
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: University Hospital Bonn Description of subject: University Hospital Bonn is a major academic medical center in Bonn, Germany, providing advanced clinical care, medical research, and teaching in partnership with the University of Bonn.
Referenced by (4)
Full triples — surface form annotated when it differs from this entity's canonical label.
this entity surface form:
Universitätsklinikum Bonn
subject surface form:
Faculty of Medicine, University of Bonn
subject surface form:
Faculty of Medicine, University of Bonn