Erlangen University Hospital
E251619
Erlangen University Hospital is a major teaching and research hospital in Erlangen, Germany, closely integrated with the University of Erlangen-Nuremberg’s medical faculty.
All labels observed (3)
| Label | Occurrences |
|---|---|
| Erlangen University Hospital canonical | 1 |
| University Hospital Erlangen | 1 |
| University of Erlangen-Nuremberg’s medical faculty | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T2266179 — 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: Erlangen University Hospital Context triple: [University of Erlangen-Nuremberg, hasAffiliation, Erlangen University Hospital]
-
A.
University Hospital Würzburg
University Hospital Würzburg is a major teaching and research hospital in Würzburg, Germany, closely affiliated with the University of Würzburg’s medical faculty.
-
B.
University Hospital of Cologne
The University Hospital of Cologne is a major German teaching and research hospital providing comprehensive medical care in close collaboration with the University of Cologne.
-
C.
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.
-
D.
University Hospital Bonn
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.
-
E.
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.
- 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: Erlangen University Hospital Target entity description: Erlangen University Hospital is a major teaching and research hospital in Erlangen, Germany, closely integrated with the University of Erlangen-Nuremberg’s medical faculty.
-
A.
University Hospital Würzburg
University Hospital Würzburg is a major teaching and research hospital in Würzburg, Germany, closely affiliated with the University of Würzburg’s medical faculty.
-
B.
University Hospital of Cologne
The University Hospital of Cologne is a major German teaching and research hospital providing comprehensive medical care in close collaboration with the University of Cologne.
-
C.
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.
-
D.
University Hospital Bonn
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.
-
E.
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.
- F. None of above. chosen
Statements (46)
| Predicate | Object |
|---|---|
| instanceOf |
research hospital
ⓘ
teaching hospital ⓘ university hospital ⓘ |
| affiliatedWith |
University of Erlangen-Nuremberg
ⓘ
surface form:
Friedrich-Alexander University Erlangen-Nuremberg
University of Erlangen-Nuremberg ⓘ
surface form:
University of Erlangen-Nuremberg Medical Faculty
|
| country | Germany ⓘ |
| governedBy |
Bavaria
ⓘ
surface form:
Free State of Bavaria
|
| hasDepartment |
anesthesiology department
ⓘ
cardiology department ⓘ dermatology department ⓘ emergency medicine department ⓘ gynecology and obstetrics department ⓘ internal medicine department ⓘ neurology department ⓘ oncology department ⓘ ophthalmology department ⓘ orthopedics department ⓘ otolaryngology department ⓘ pathology department ⓘ pediatrics department ⓘ psychiatry department ⓘ radiology department ⓘ surgery department ⓘ urology department ⓘ |
| hasResearchFocus |
cardiovascular research
ⓘ
clinical trials ⓘ immunology research ⓘ oncology research ⓘ translational medicine ⓘ |
| hasRole |
clinical research
ⓘ
patient care ⓘ teaching of medical students ⓘ |
| integratedWith |
Erlangen University Hospital
self-linksurface differs
ⓘ
surface form:
University of Erlangen-Nuremberg’s medical faculty
|
| isMajorTeachingHospitalFor | University of Erlangen-Nuremberg ⓘ |
| languageOfOperation | German ⓘ |
| locatedIn | Erlangen ⓘ |
| offersService |
inpatient care
ⓘ
outpatient care ⓘ specialized tertiary care ⓘ |
| partOf |
Bavarian University Network
ⓘ
surface form:
Bavarian university hospital network
|
| regionServed |
Franconia
ⓘ
northern Bavaria ⓘ
surface form:
Northern Bavaria
|
| state | Bavaria ⓘ |
| trains |
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: Erlangen University Hospital Description of subject: Erlangen University Hospital is a major teaching and research hospital in Erlangen, Germany, closely integrated with the University of Erlangen-Nuremberg’s medical faculty.
Referenced by (3)
Full triples — surface form annotated when it differs from this entity's canonical label.
subject surface form:
Faculty of Medicine, University of Erlangen-Nuremberg
this entity surface form:
University Hospital Erlangen
Erlangen University Hospital
→
integratedWith
→
Erlangen University Hospital
self-linksurface differs
ⓘ
this entity surface form:
University of Erlangen-Nuremberg’s medical faculty