Keio Medical Science Prize
E48932
The Keio Medical Science Prize is a prestigious international award presented by Keio University to recognize outstanding contributions to the field of medical and life sciences.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Keio Medical Science Prize canonical | 7 |
Statements (38)
| Predicate | Object |
|---|---|
| instanceOf |
international award
ⓘ
medical award ⓘ science and technology award ⓘ |
| administeredBy |
Keio University Medical Science Fund
ⓘ
surface form:
Keio University Medical Science Fund Secretariat
|
| awardComponents |
certificate
ⓘ
medal ⓘ monetary prize ⓘ |
| awardFrequency | annual ⓘ |
| country | Japan ⓘ |
| disciplineCoverage |
basic medical research
ⓘ
clinical medicine ⓘ life science research related to human health ⓘ translational research ⓘ |
| eligibility | researchers in medical and life sciences worldwide ⓘ |
| field |
life sciences
ⓘ
medical sciences ⓘ |
| focus | research with significant impact on human health ⓘ |
| hasCategory |
Japanese science and technology awards
ⓘ
awards established in 1996 ⓘ medicine awards ⓘ |
| hasLanguage |
English
ⓘ
Japanese ⓘ |
| hasWebsite | https://www.ms-fund.keio.ac.jp/prize/ ⓘ |
| inception | 1996 ⓘ |
| location |
Japan
ⓘ
Tokyo ⓘ |
| namedAfter | Keio University ⓘ |
| notableLaureate |
James P. Allison
ⓘ
Shinya Yamanaka ⓘ Tasuku Honjo ⓘ Yoshinori Ohsumi ⓘ |
| organizer | Keio University School of Medicine ⓘ |
| presentedBy | Keio University ⓘ |
| prestige | one of Japan’s most prestigious medical science prizes ⓘ |
| purpose | to recognize outstanding contributions in medical and life sciences ⓘ |
| relationToNobelPrize | several laureates later received the Nobel Prize ⓘ |
| selectionMethod | international selection committee review ⓘ |
| sponsor | Keio University Medical Science Fund ⓘ |
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: Keio Medical Science Prize Description of subject: The Keio Medical Science Prize is a prestigious international award presented by Keio University to recognize outstanding contributions to the field of medical and life sciences.
Referenced by (7)
Full triples — surface form annotated when it differs from this entity's canonical label.