Faculty of Medicine
E285167
The Faculty of Medicine is the medical school of Université de Versailles Saint-Quentin-en-Yvelines, responsible for training future physicians and conducting biomedical research.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Faculty of Medicine canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T2648062 — 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: Faculty of Medicine Context triple: [Université de Versailles Saint-Quentin-en-Yvelines, hasFaculty, Faculty of Medicine]
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A.
Faculty of Medicine
The Faculty of Medicine at Alexandria University is a major Egyptian medical school that trains physicians and conducts research and clinical education in a wide range of medical disciplines.
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B.
Faculty of Medicine
The Faculty of Medicine at the University of Kiel is the institution’s medical school, responsible for education and research in medicine and related health sciences.
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C.
Faculty of Medicine
The Faculty of Medicine at the University of Bonn is the university’s medical school, responsible for medical education, clinical training, and biomedical research.
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D.
Faculty of Medicine
The Faculty of Medicine at Jagiellonian University is one of Poland’s oldest and most prestigious medical schools, renowned for its long academic tradition and contributions to medical education and research.
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E.
Faculty of Medicine
The Faculty of Medicine at the University of Tübingen is a major German medical school and research institution known for its contributions to clinical medicine, biomedical research, and medical education.
- 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: Faculty of Medicine Target entity description: The Faculty of Medicine is the medical school of Université de Versailles Saint-Quentin-en-Yvelines, responsible for training future physicians and conducting biomedical research.
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A.
Faculty of Medicine
The Faculty of Medicine at Sorbonne University is a major French medical school and research institution known for training physicians and advancing biomedical research in Paris.
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B.
Faculty of Medicine
The Faculty of Medicine at the University of Strasbourg is a major French medical school that provides education, training, and research in medicine and health sciences.
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C.
Faculty of Medicine
The Faculty of Medicine at the Université de Montréal is a major French-language medical school in Canada, offering education and research programs in medicine and related health sciences.
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D.
Faculty of Medicine
The Faculty of Medicine at the University of Geneva is a major academic and research institution dedicated to medical education, clinical training, and biomedical research in Switzerland.
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E.
Faculty of Medicine
The Faculty of Medicine at the University of Zurich is a major academic division responsible for medical education, clinical training, and biomedical research within the university.
- F. None of above. chosen
Statements (40)
| Predicate | Object |
|---|---|
| instanceOf |
faculty
ⓘ
medical school ⓘ |
| academicDiscipline | health sciences ⓘ |
| academicLevel | tertiary education ⓘ |
| affiliation | Université de Versailles Saint-Quentin-en-Yvelines ⓘ |
| collaboratesWith |
research institutes
ⓘ
teaching hospitals ⓘ |
| continent | Europe ⓘ |
| country | France ⓘ |
| degreeAwarded |
doctor of medicine (MD equivalent)
ⓘ
medical degree ⓘ |
| educationalInstitutionType | public university faculty ⓘ |
| educationalSystem | French higher education system ⓘ |
| fieldOfStudy |
biomedical sciences
ⓘ
clinical medicine ⓘ medicine ⓘ public health ⓘ |
| focus |
biomedical innovation
ⓘ
medical training ⓘ |
| governedBy |
French Ministry of Social Affairs
ⓘ
surface form:
French Ministry of Health
French Ministry of Higher Education and Research ⓘ |
| hasParentOrganization | Université Paris-Saclay ⓘ |
| languageOfInstruction | French ⓘ |
| locatedIn |
Versailles
ⓘ
Île-de-France region ⓘ
surface form:
Île-de-France
|
| mission |
conducting biomedical research
ⓘ
training future physicians ⓘ |
| offersProgram |
graduate medical education
ⓘ
residency training ⓘ undergraduate medical education ⓘ |
| partOf | Université de Versailles Saint-Quentin-en-Yvelines ⓘ |
| regionServed |
Île-de-France region
ⓘ
surface form:
Île-de-France
|
| researchActivity |
biomedical research
ⓘ
clinical research ⓘ translational research ⓘ |
| sector |
healthcare education
ⓘ
higher education ⓘ |
| trains |
medical students
ⓘ
physicians ⓘ |
| typeOfCampus | urban campus ⓘ |
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: Faculty of Medicine Description of subject: The Faculty of Medicine is the medical school of Université de Versailles Saint-Quentin-en-Yvelines, responsible for training future physicians and conducting biomedical research.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.