School of Medicine
E76296
The School of Medicine at Boston University is a major medical school and research institution known for training physicians and advancing biomedical research in Boston, Massachusetts.
All labels observed (1)
| Label | Occurrences |
|---|---|
| School of Medicine canonical | 3 |
How this entity was disambiguated
This entity first appeared as the object of triple T609150 — 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: School of Medicine Context triple: [Boston University, hasSchool, School of Medicine]
-
A.
School of Medicine
The School of Medicine at Stanford University is a leading medical school and research institution known for its cutting-edge biomedical research, innovative medical education, and close integration with Stanford’s world-class hospitals and scientific community.
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B.
School of Medicine
The School of Medicine at Johns Hopkins University is a leading U.S. medical school renowned for its pioneering biomedical research, rigorous medical education, and influential clinical training programs.
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C.
School of Medicine
The School of Medicine at McGill University is a core academic unit responsible for educating future physicians and advancing medical research within the Faculty of Medicine and Health Sciences.
-
D.
School of Medicine
The School of Medicine at Georgetown University is a graduate medical school in Washington, D.C., known for its Jesuit tradition and strong programs in clinical education, biomedical research, and patient-centered care.
-
E.
Faculty of Medicine
The Faculty of Medicine at the University of Tokyo is a leading Japanese medical school renowned for its research, clinical training, and contributions to medical science and healthcare policy.
- 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: School of Medicine Target entity description: The School of Medicine at Boston University is a major medical school and research institution known for training physicians and advancing biomedical research in Boston, Massachusetts.
-
A.
School of Medicine
The School of Medicine at Stanford University is a leading medical school and research institution known for its cutting-edge biomedical research, innovative medical education, and close integration with Stanford’s world-class hospitals and scientific community.
-
B.
School of Medicine
The School of Medicine at Johns Hopkins University is a leading U.S. medical school renowned for its pioneering biomedical research, rigorous medical education, and influential clinical training programs.
-
C.
School of Medicine
The School of Medicine at McGill University is a core academic unit responsible for educating future physicians and advancing medical research within the Faculty of Medicine and Health Sciences.
-
D.
School of Medicine
The School of Medicine at Georgetown University is a graduate medical school in Washington, D.C., known for its Jesuit tradition and strong programs in clinical education, biomedical research, and patient-centered care.
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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 |
medical school
ⓘ
research institution ⓘ |
| academicDegreeOffered |
Doctor of Medicine
ⓘ
Master’s degree ⓘ PhD ⓘ |
| academicDiscipline |
biomedical science
ⓘ
clinical medicine ⓘ medical education ⓘ medicine ⓘ |
| affiliation | Boston University ⓘ |
| campus | Boston University Medical Campus ⓘ |
| campusSetting | urban ⓘ |
| city |
Boston
ⓘ
linked to:
Boston, Massachusetts
|
| country |
United States
ⓘ
linked to:
United States of America
|
| fieldOfStudy |
biomedical sciences
ⓘ
medicine ⓘ public health ⓘ |
| focus |
biomedical research
ⓘ
clinical research ⓘ physician training ⓘ translational research ⓘ |
| hasEducationalProgram |
fellowship training
ⓘ
graduate biomedical sciences ⓘ medical education ⓘ residency training ⓘ |
| languageOfInstruction | English ⓘ |
| locatedIn | Boston University Medical Campus ⓘ |
| locatedInTimeZone | Eastern Time Zone ⓘ |
| notableFor |
advancing biomedical research
ⓘ
training physicians ⓘ |
| parentOrganization | Boston University ⓘ |
| regionServed |
Massachusetts
ⓘ
New England ⓘ |
| researchArea |
biomedical research
ⓘ
clinical research ⓘ public health research ⓘ |
| sector |
healthcare education
ⓘ
higher education ⓘ |
| state | Massachusetts ⓘ |
| typeOfInstitution | graduate school ⓘ |
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: School of Medicine Description of subject: The School of Medicine at Boston University is a major medical school and research institution known for training physicians and advancing biomedical research in Boston, Massachusetts.
Referenced by (3)
Full triples — surface form annotated when it differs from this entity's canonical label.