Department of Biomedical Informatics
E441458
The Department of Biomedical Informatics is an academic division specializing in the application of information science, data analysis, and computational methods to biomedical and clinical research within Osaka University's Graduate School of Medicine.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Department of Biomedical Informatics canonical | 2 |
How this entity was disambiguated
This entity first appeared as the object of triple T4464343 — 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: Department of Biomedical Informatics Context triple: [Graduate School of Medicine, Osaka University, hasDivision, Department of Biomedical Informatics]
-
A.
Department of Medical Informatics
The Department of Medical Informatics is an academic unit at Tohoku University's Faculty of Medicine that focuses on the application of information science and technology to healthcare, clinical practice, and biomedical research.
-
B.
Department of Medical Informatics
The Department of Medical Informatics is an academic unit at the University of Tokyo’s Faculty of Medicine that focuses on the research and education of information technologies and data science in healthcare and medical practice.
-
C.
Department of Computational Biology and Medical Sciences
The Department of Computational Biology and Medical Sciences is an academic unit specializing in the integration of computational methods with biological and medical research to advance understanding of complex life and health systems.
-
D.
Department of Biostatistics
The Department of Biostatistics at the Harvard T.H. Chan School of Public Health is a leading academic center for developing and applying statistical methods to advance biomedical, public health, and quantitative science research.
-
E.
Department of Informatics
The Department of Informatics at King’s College London is an academic unit focused on research and education in computer science, artificial intelligence, and related areas of information technology.
- 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: Department of Biomedical Informatics Target entity description: The Department of Biomedical Informatics is an academic division specializing in the application of information science, data analysis, and computational methods to biomedical and clinical research within Osaka University's Graduate School of Medicine.
-
A.
Department of Medical Informatics
The Department of Medical Informatics is an academic unit at Tohoku University's Faculty of Medicine that focuses on the application of information science and technology to healthcare, clinical practice, and biomedical research.
-
B.
Department of Medical Informatics
The Department of Medical Informatics is an academic unit at the University of Tokyo’s Faculty of Medicine that focuses on the research and education of information technologies and data science in healthcare and medical practice.
-
C.
Department of Computational Biology and Medical Sciences
The Department of Computational Biology and Medical Sciences is an academic unit specializing in the integration of computational methods with biological and medical research to advance understanding of complex life and health systems.
-
D.
Department of Biostatistics
The Department of Biostatistics at the Harvard T.H. Chan School of Public Health is a leading academic center for developing and applying statistical methods to advance biomedical, public health, and quantitative science research.
-
E.
Department of Informatics
The Department of Informatics at King’s College London is an academic unit focused on research and education in computer science, artificial intelligence, and related areas of information technology.
- F. None of above. chosen
Statements (45)
| Predicate | Object |
|---|---|
| instanceOf |
academic department
ⓘ
research organization ⓘ |
| academicDiscipline |
computer science
ⓘ
epidemiology ⓘ medicine ⓘ statistics ⓘ |
| affiliation | Osaka University NERFINISHED ⓘ |
| country | Japan ⓘ |
| fieldOfWork |
bioinformatics
ⓘ
biomedical informatics ⓘ clinical informatics ⓘ clinical research informatics ⓘ computational biology ⓘ data science ⓘ health informatics ⓘ medical data analysis ⓘ medical informatics ⓘ |
| focusesOn |
analysis of biomedical data
ⓘ
application of information science to biomedicine ⓘ artificial intelligence in medicine ⓘ biomedical databases ⓘ clinical data integration ⓘ clinical decision support systems ⓘ computational methods for clinical research ⓘ electronic health records data analysis ⓘ machine learning for healthcare ⓘ medical big data ⓘ translational research informatics ⓘ |
| hasResearchArea |
biomedical knowledge representation
ⓘ
clinical data mining ⓘ clinical trials informatics ⓘ healthcare information systems ⓘ medical image analysis ⓘ ontology in biomedicine ⓘ personalized medicine informatics ⓘ |
| languageOfWorkOrName |
English
ⓘ
Japanese ⓘ |
| locatedIn | Suita, Osaka, Japan NERFINISHED ⓘ |
| offers |
graduate education
ⓘ
research training ⓘ |
| operatedBy | Osaka University NERFINISHED ⓘ |
| parentOrganization |
Faculty of Medicine, Osaka University
NERFINISHED
ⓘ
Osaka University NERFINISHED ⓘ |
| partOf | Graduate School of Medicine, Osaka University NERFINISHED ⓘ |
| sector | higher education ⓘ |
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: Department of Biomedical Informatics Description of subject: The Department of Biomedical Informatics is an academic division specializing in the application of information science, data analysis, and computational methods to biomedical and clinical research within Osaka University's Graduate School of Medicine.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.
subject surface form:
Graduate School of Medicine, Osaka University