UniProt Consortium
E736816
The UniProt Consortium is an international collaboration of bioinformatics organizations responsible for maintaining and curating the UniProt protein sequence and functional annotation database.
All labels observed (1)
| Label | Occurrences |
|---|---|
| UniProt Consortium canonical | 9 |
How this entity was disambiguated
This entity first appeared as the object of triple T8482753 — 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: UniProt Consortium Context triple: [UniProt protein sequences, curatedBy, UniProt Consortium]
-
A.
UniProt protein sequences
UniProt protein sequences are a comprehensive, curated collection of protein sequence data that serves as a primary reference resource for protein information in biological and biomedical research.
-
B.
European Bioinformatics Institute
The European Bioinformatics Institute (EMBL-EBI) is a major international research center that develops and hosts biological data resources and tools to support life science research worldwide.
-
C.
Protein Data Bank
The Protein Data Bank is a global repository that archives and provides open access to 3D structural data of biological macromolecules such as proteins and nucleic acids.
-
D.
National Center for Biotechnology Information
The National Center for Biotechnology Information (NCBI) is a U.S. government bioinformatics institution that develops and hosts major biological databases and tools for biomedical research.
-
E.
Protein database
The Protein database is a curated collection of protein sequences and related functional, structural, and bibliographic information maintained by the National Center for Biotechnology Information (NCBI).
- 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: UniProt Consortium Target entity description: The UniProt Consortium is an international collaboration of bioinformatics organizations responsible for maintaining and curating the UniProt protein sequence and functional annotation database.
-
A.
UniProt protein sequences
UniProt protein sequences are a comprehensive, curated collection of protein sequence data that serves as a primary reference resource for protein information in biological and biomedical research.
-
B.
European Bioinformatics Institute
The European Bioinformatics Institute (EMBL-EBI) is a major international research center that develops and hosts biological data resources and tools to support life science research worldwide.
-
C.
Protein Data Bank
The Protein Data Bank is a global repository that archives and provides open access to 3D structural data of biological macromolecules such as proteins and nucleic acids.
-
D.
National Center for Biotechnology Information
The National Center for Biotechnology Information (NCBI) is a U.S. government bioinformatics institution that develops and hosts major biological databases and tools for biomedical research.
-
E.
Protein database
The Protein database is a curated collection of protein sequences and related functional, structural, and bibliographic information maintained by the National Center for Biotechnology Information (NCBI).
- F. None of above. chosen
Statements (57)
| Predicate | Object |
|---|---|
| instanceOf |
bioinformatics organization
ⓘ
non-profit collaboration ⓘ scientific consortium ⓘ |
| abbreviation |
UniProt
ⓘ
linked to:
UniProt Knowledgebase
|
| aimsTo |
provide a comprehensive resource on protein sequence and function
ⓘ
standardize protein annotation across species ⓘ |
| country |
Switzerland
ⓘ
United Kingdom ⓘ United States of America ⓘ |
| field |
bioinformatics
ⓘ
computational biology ⓘ molecular biology ⓘ |
| focusesOn |
genome-scale protein annotation
ⓘ
protein function annotation ⓘ protein sequences ⓘ proteomics data integration ⓘ |
| hasMemberOrganization |
EMBL-EBI
ⓘ
linked to:
European Bioinformatics Institute
European Bioinformatics Institute ⓘ PIR ⓘ Protein Information Resource ⓘ SIB Swiss Institute of Bioinformatics ⓘ
linked to:
Swiss Institute of Bioinformatics
Swiss Institute of Bioinformatics ⓘ |
| integratesFrom |
genome sequencing projects
ⓘ
other biological databases ⓘ protein sequence databases ⓘ scientific literature ⓘ |
| language | English ⓘ |
| maintains |
UniParc
ⓘ
UniProt ⓘ
linked to:
UniProt Knowledgebase
UniProt Knowledgebase ⓘ UniProtKB ⓘ
linked to:
UniProt Knowledgebase
UniRef ⓘ |
| name | UniProt Consortium ⓘ |
| operatesIn |
Europe
ⓘ
North America ⓘ |
| product |
UniParc archive
ⓘ
linked to:
UniParc
UniProt functional annotation database ⓘ
linked to:
UniProt Knowledgebase
UniProt protein sequence database ⓘ
linked to:
UniProt Knowledgebase
UniProtKB/Swiss-Prot ⓘ UniProtKB/TrEMBL ⓘ UniRef100 ⓘ
linked to:
UniRef
UniRef50 ⓘ UniRef90 ⓘ
linked to:
UniRef
|
| provides |
freely accessible protein data
ⓘ
programmatic access via APIs ⓘ web-based search interface ⓘ |
| responsibleFor |
curation of UniProt functional annotation
ⓘ
curation of UniProt protein sequence data ⓘ quality control of UniProt entries ⓘ release of UniProt database versions ⓘ |
| supports |
drug discovery research
ⓘ
genomics research ⓘ proteomics research ⓘ systems biology research ⓘ |
| uses |
automated annotation pipelines
ⓘ
manual expert curation ⓘ |
| website | https://www.uniprot.org ⓘ |
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: UniProt Consortium Description of subject: The UniProt Consortium is an international collaboration of bioinformatics organizations responsible for maintaining and curating the UniProt protein sequence and functional annotation database.
Referenced by (9)
Full triples — surface form annotated when it differs from this entity's canonical label.