PubMed
E25737
PubMed is a free search engine providing access to a vast database of biomedical and life sciences literature maintained by the U.S. National Library of Medicine.
All labels observed (4)
| Label | Occurrences |
|---|---|
| PubMed canonical | 28 |
| PubMed database | 2 |
| MEDLINE | 1 |
| pubmed | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T200344 — 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: PubMed Context triple: [Biology Letters, isIndexedIn, PubMed]
-
A.
Scopus
Scopus is a large abstract and citation database of peer-reviewed literature covering scientific, technical, medical, and social science research.
-
B.
Proceedings of the National Academy of Sciences
Proceedings of the National Academy of Sciences is a leading peer-reviewed multidisciplinary scientific journal publishing high-impact research across the biological, physical, and social sciences.
-
C.
DOI
DOI is the commonly used abbreviation for the United States Department of the Interior, the federal executive department responsible for managing the nation’s natural resources and public lands.
-
D.
IEEE Xplore Digital Library
IEEE Xplore Digital Library is an online research platform providing access to a vast collection of scientific and technical literature in electrical engineering, computer science, and related fields.
-
E.
ACM Digital Library
The ACM Digital Library is a comprehensive online research repository providing access to the Association for Computing Machinery’s journals, conference proceedings, technical magazines, and other computing-related publications.
- 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: PubMed Target entity description: PubMed is a free search engine providing access to a vast database of biomedical and life sciences literature maintained by the U.S. National Library of Medicine.
-
A.
Scopus
Scopus is a large abstract and citation database of peer-reviewed literature covering scientific, technical, medical, and social science research.
-
B.
Proceedings of the National Academy of Sciences
Proceedings of the National Academy of Sciences is a leading peer-reviewed multidisciplinary scientific journal publishing high-impact research across the biological, physical, and social sciences.
-
C.
DOI
DOI is the commonly used abbreviation for the United States Department of the Interior, the federal executive department responsible for managing the nation’s natural resources and public lands.
-
D.
IEEE Xplore Digital Library
IEEE Xplore Digital Library is an online research platform providing access to a vast collection of scientific and technical literature in electrical engineering, computer science, and related fields.
-
E.
ACM Digital Library
The ACM Digital Library is a comprehensive online research repository providing access to the Association for Computing Machinery’s journals, conference proceedings, technical magazines, and other computing-related publications.
- F. None of above. chosen
Statements (56)
| Predicate | Object |
|---|---|
| instanceOf |
bibliographic database
ⓘ
scientific database ⓘ search engine ⓘ |
| abbreviation | PubMed self-link ⓘ |
| accessModel | free to use ⓘ |
| countryOfOrigin |
United States of America
ⓘ
surface form:
United States
|
| dataSource |
online books
ⓘ
scientific journals ⓘ |
| developer | National Center for Biotechnology Information ⓘ |
| field |
biomedicine
ⓘ
health sciences ⓘ life sciences ⓘ |
| focusesOn | peer-reviewed literature ⓘ |
| governedBy |
United States government
ⓘ
surface form:
United States federal government
|
| hasFeature |
advanced search builder
ⓘ
citation manager export ⓘ clinical queries ⓘ email alerts ⓘ filters for article types ⓘ filters for languages ⓘ filters for publication dates ⓘ filters for species ⓘ related articles recommendations ⓘ saved searches ⓘ |
| hasPrimaryContent |
abstracts of scientific articles
ⓘ
biomedical literature citations ⓘ |
| hasSearchFunction |
MeSH term search
ⓘ
author search ⓘ journal search ⓘ keyword search ⓘ |
| includes |
records with links to full text
ⓘ
records without full text ⓘ |
| includesContentFrom |
MEDLINE
ⓘ
NCBI Bookshelf ⓘ PubMed Central ⓘ |
| isAccessibleVia |
NCBI E-utilities API
ⓘ
web browser ⓘ |
| isUsedBy |
clinicians
ⓘ
librarians ⓘ researchers ⓘ students ⓘ |
| language | English ⓘ |
| maintainedBy |
National Center for Biotechnology Information
ⓘ
United States National Library of Medicine ⓘ |
| operatedBy | National Institutes of Health ⓘ |
| partOf | Entrez system ⓘ |
| publisher | United States National Library of Medicine ⓘ |
| subjectArea |
dentistry
ⓘ
healthcare systems ⓘ medicine ⓘ nursing ⓘ preclinical sciences ⓘ veterinary medicine ⓘ |
| URL | https://pubmed.ncbi.nlm.nih.gov ⓘ |
| usesControlledVocabulary |
MEDLINE
ⓘ
surface form:
Medical Subject Headings
|
| website | https://pubmed.ncbi.nlm.nih.gov ⓘ |
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: PubMed Description of subject: PubMed is a free search engine providing access to a vast database of biomedical and life sciences literature maintained by the U.S. National Library of Medicine.
Referenced by (32)
Full triples — surface form annotated when it differs from this entity's canonical label.
this entity surface form:
MEDLINE
this entity surface form:
PubMed database
this entity surface form:
pubmed