Tohoku Medical Megabank Organization
E53587
Tohoku Medical Megabank Organization is a large-scale biomedical research institute at Tohoku University that builds extensive biobanks and genomic databases to advance personalized medicine and post-disaster health research in Japan.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Tohoku Medical Megabank Organization canonical | 3 |
How this entity was disambiguated
This entity first appeared as the object of triple T424019 — 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: Tohoku Medical Megabank Organization Context triple: [Tohoku University, hasResearchInstitute, Tohoku Medical Megabank Organization]
-
A.
Institute of Medical Science, University of Tokyo
The Institute of Medical Science, University of Tokyo is a leading Japanese biomedical research and graduate education center renowned for its work in infectious diseases, genomics, and advanced medical science.
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B.
University of Tokyo Hospital
University of Tokyo Hospital is a major academic medical center in Tokyo, Japan, known for advanced clinical care, medical education, and cutting-edge research.
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C.
Kyushu University Hospital
Kyushu University Hospital is a major teaching and research medical center in Fukuoka, Japan, affiliated with Kyushu University and providing advanced clinical care across a wide range of specialties.
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D.
Tohoku University
Tohoku University is a prestigious national research university in Sendai, Japan, renowned for its strong science and engineering programs and pioneering admission of women and international students.
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E.
Inamori Foundation
The Inamori Foundation is a Japanese nonprofit organization established by Kyocera founder Kazuo Inamori that supports global contributions to science, culture, and human betterment through major international awards and philanthropic activities.
- 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: Tohoku Medical Megabank Organization Target entity description: Tohoku Medical Megabank Organization is a large-scale biomedical research institute at Tohoku University that builds extensive biobanks and genomic databases to advance personalized medicine and post-disaster health research in Japan.
-
A.
Institute of Medical Science, University of Tokyo
The Institute of Medical Science, University of Tokyo is a leading Japanese biomedical research and graduate education center renowned for its work in infectious diseases, genomics, and advanced medical science.
-
B.
University of Tokyo Hospital
University of Tokyo Hospital is a major academic medical center in Tokyo, Japan, known for advanced clinical care, medical education, and cutting-edge research.
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C.
Kyushu University Hospital
Kyushu University Hospital is a major teaching and research medical center in Fukuoka, Japan, affiliated with Kyushu University and providing advanced clinical care across a wide range of specialties.
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D.
Tohoku University
Tohoku University is a prestigious national research university in Sendai, Japan, renowned for its strong science and engineering programs and pioneering admission of women and international students.
-
E.
Inamori Foundation
The Inamori Foundation is a Japanese nonprofit organization established by Kyocera founder Kazuo Inamori that supports global contributions to science, culture, and human betterment through major international awards and philanthropic activities.
- F. None of above. chosen
Statements (47)
| Predicate | Object |
|---|---|
| instanceOf |
biobank organization
ⓘ
biomedical research institute ⓘ |
| affiliatedWith | Tohoku University ⓘ |
| aimsTo |
advance personalized medicine in Japan
ⓘ
improve regional healthcare in the Tohoku area ⓘ support reconstruction of medical care in disaster-affected areas ⓘ |
| builds |
biobanks
ⓘ
clinical databases ⓘ genomic databases ⓘ integrated omics databases ⓘ |
| collaboratesWith |
Japanese government agencies
ⓘ
domestic universities ⓘ international research institutions ⓘ |
| collects |
biospecimens
ⓘ
clinical information ⓘ genomic data ⓘ lifestyle information ⓘ |
| country | Japan ⓘ |
| focusesOn |
birth and three-generation cohort
ⓘ
cohort studies ⓘ long-term health effects of the 2011 Great East Japan Earthquake ⓘ population-based cohort ⓘ post-disaster health research ⓘ |
| hasAbbreviation | ToMMo ⓘ |
| hasGoal |
contribute to disease risk prediction models for the Japanese population
ⓘ
establish a Japanese reference panel for whole-genome variation ⓘ |
| hasResearchField |
biobank science
ⓘ
bioinformatics ⓘ epidemiology ⓘ genomics ⓘ personalized medicine ⓘ precision medicine ⓘ public health ⓘ |
| languageOfWorkOrName | Japanese ⓘ |
| locatedIn |
Miyagi Prefecture
ⓘ
Sendai ⓘ Tohoku University ⓘ Tohoku ⓘ
surface form:
Tohoku region
|
| operates |
large-scale cohort studies in Iwate Prefecture
ⓘ
large-scale cohort studies in Miyagi Prefecture ⓘ |
| partOf |
Graduate School of Medicine, Tohoku University
ⓘ
surface form:
Tohoku University Graduate School of Medicine
|
| provides |
research resources to academic researchers
ⓘ
research resources to industry ⓘ |
| usesTechnology |
SNP genotyping
ⓘ
high-throughput omics analysis ⓘ next-generation sequencing ⓘ whole-genome sequencing ⓘ |
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: Tohoku Medical Megabank Organization Description of subject: Tohoku Medical Megabank Organization is a large-scale biomedical research institute at Tohoku University that builds extensive biobanks and genomic databases to advance personalized medicine and post-disaster health research in Japan.
Referenced by (3)
Full triples — surface form annotated when it differs from this entity's canonical label.