Entrez system
E135930
The Entrez system is an integrated search and retrieval platform from the National Center for Biotechnology Information (NCBI) that provides unified access to a wide range of biomedical databases, including literature, sequences, genomes, and more.
All labels observed (2)
| Label | Occurrences |
|---|---|
| Entrez system canonical | 2 |
| NCBI Entrez system | 2 |
How this entity was disambiguated
This entity first appeared as the object of triple T1199117 — 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: Entrez system Context triple: [PubMed, partOf, Entrez system]
-
A.
CUI Registry
The CUI Registry is the official online catalog that identifies and defines all categories of Controlled Unclassified Information and their handling requirements across the U.S. federal government.
-
B.
Z39.50
Z39.50 is a client-server protocol used primarily by libraries and information services to search and retrieve bibliographic and related data from remote databases in a standardized way.
-
C.
UNBIS Thesaurus
The UNBIS Thesaurus is a controlled vocabulary used by the United Nations for indexing and retrieving documents and information across its bibliographic and information systems.
-
D.
System1
System1 is a digital marketing and customer acquisition company specializing in data-driven advertising and online performance-based media.
-
E.
SNOMED CT Browser
SNOMED CT Browser is an online tool that allows users to search, explore, and navigate the SNOMED CT clinical terminology system.
- 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: Entrez system Target entity description: The Entrez system is an integrated search and retrieval platform from the National Center for Biotechnology Information (NCBI) that provides unified access to a wide range of biomedical databases, including literature, sequences, genomes, and more.
-
A.
CUI Registry
The CUI Registry is the official online catalog that identifies and defines all categories of Controlled Unclassified Information and their handling requirements across the U.S. federal government.
-
B.
Z39.50
Z39.50 is a client-server protocol used primarily by libraries and information services to search and retrieve bibliographic and related data from remote databases in a standardized way.
-
C.
UNBIS Thesaurus
The UNBIS Thesaurus is a controlled vocabulary used by the United Nations for indexing and retrieving documents and information across its bibliographic and information systems.
-
D.
System1
System1 is a digital marketing and customer acquisition company specializing in data-driven advertising and online performance-based media.
-
E.
SNOMED CT Browser
SNOMED CT Browser is an online tool that allows users to search, explore, and navigate the SNOMED CT clinical terminology system.
- F. None of above. chosen
Statements (56)
| Predicate | Object |
|---|---|
| instanceOf |
NCBI resource
ⓘ
biological database search system ⓘ information retrieval system ⓘ |
| accessibleVia |
NCBI E-utilities API
ⓘ
surface form:
Entrez Programming Utilities
NCBI website ⓘ web interface ⓘ |
| countryOfOrigin |
United States of America
ⓘ
surface form:
United States
|
| describedAs | integrated search and retrieval system for biomedical information ⓘ |
| developer |
National Center for Biotechnology Information
ⓘ
surface form:
NCBI
National Center for Biotechnology Information ⓘ |
| domain |
biomedicine
ⓘ
genomics ⓘ molecular biology ⓘ |
| hasPart |
Assembly database
ⓘ
BioProject database ⓘ National Center for Biotechnology Information ⓘ
surface form:
BioSample database
Bookshelf database ⓘ ClinVar database ⓘ Conserved Domain Database ⓘ GEO DataSets ⓘ GEO Profiles ⓘ GTR Tests database ⓘ GTR database ⓘ Gene database ⓘ Genome database ⓘ National Center for Biotechnology Information ⓘ
surface form:
HomoloGene
Medical Subject Headings ⓘ
surface form:
MeSH database
Nucleotide database ⓘ National Center for Biotechnology Information ⓘ
surface form:
OMIM database
PopSet database ⓘ Probe database ⓘ National Center for Biotechnology Information ⓘ
surface form:
Protein Clusters database
Protein database ⓘ PubChem BioAssay ⓘ PubChem Compound ⓘ PubChem Substance ⓘ PubMed ⓘ SNP database ⓘ SRA database ⓘ Structure database ⓘ Taxonomy database ⓘ UniGene database ⓘ dbVar database ⓘ |
| locatedIn | Bethesda, Maryland ⓘ |
| maintainedBy | National Center for Biotechnology Information ⓘ |
| operatedBy | National Center for Biotechnology Information ⓘ |
| partOf |
NCBI E-utilities API
ⓘ
surface form:
NCBI Entrez Programming Utilities
National Center for Biotechnology Information ⓘ
surface form:
NCBI resources
|
| primaryUsers |
bioinformaticians
ⓘ
biomedical researchers ⓘ clinicians ⓘ |
| publisher | National Center for Biotechnology Information ⓘ |
| supports |
Boolean queries
ⓘ
cross-database linking ⓘ field-specific searching ⓘ integrated search across multiple databases ⓘ |
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: Entrez system Description of subject: The Entrez system is an integrated search and retrieval platform from the National Center for Biotechnology Information (NCBI) that provides unified access to a wide range of biomedical databases, including literature, sequences, genomes, and more.
Referenced by (4)
Full triples — surface form annotated when it differs from this entity's canonical label.
this entity surface form:
NCBI Entrez system
this entity surface form:
NCBI Entrez system