MeSH qualifiers
E353352
MeSH qualifiers are standardized subheadings used in conjunction with Medical Subject Headings to refine and specify the aspects of biomedical topics in MEDLINE indexing and retrieval.
All labels observed (3)
| Label | Occurrences |
|---|---|
| MeSH qualifiers canonical | 2 |
| MeSH Entry Terms | 1 |
| MeSH Qualifiers | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T3389589 — 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: MeSH qualifiers Context triple: [MEDLINE, indexingStandard, MeSH qualifiers]
-
A.
SNOMED CT
SNOMED CT is a comprehensive, multilingual clinical healthcare terminology used worldwide to standardize the recording and sharing of medical information in electronic health records.
-
B.
SNOMED CT Browser
SNOMED CT Browser is an online tool that allows users to search, explore, and navigate the SNOMED CT clinical terminology system.
-
C.
Regenstrief Institute LOINC Committee
The Regenstrief Institute LOINC Committee is the expert governing body responsible for developing, maintaining, and overseeing the Logical Observation Identifiers Names and Codes (LOINC) standard for health data interoperability.
-
D.
LOINC
LOINC (Logical Observation Identifiers Names and Codes) is a widely used international standard for identifying laboratory tests, clinical measurements, and other health observations in electronic health records and data exchange.
-
E.
NCBI E-utilities API
The NCBI E-utilities API is a set of programmatic web services that allow automated querying, retrieval, and integration of data from NCBI databases such as PubMed.
- 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: MeSH qualifiers Target entity description: MeSH qualifiers are standardized subheadings used in conjunction with Medical Subject Headings to refine and specify the aspects of biomedical topics in MEDLINE indexing and retrieval.
-
A.
SNOMED CT
SNOMED CT is a comprehensive, multilingual clinical healthcare terminology used worldwide to standardize the recording and sharing of medical information in electronic health records.
-
B.
SNOMED CT Browser
SNOMED CT Browser is an online tool that allows users to search, explore, and navigate the SNOMED CT clinical terminology system.
-
C.
Regenstrief Institute LOINC Committee
The Regenstrief Institute LOINC Committee is the expert governing body responsible for developing, maintaining, and overseeing the Logical Observation Identifiers Names and Codes (LOINC) standard for health data interoperability.
-
D.
LOINC
LOINC (Logical Observation Identifiers Names and Codes) is a widely used international standard for identifying laboratory tests, clinical measurements, and other health observations in electronic health records and data exchange.
-
E.
NCBI E-utilities API
The NCBI E-utilities API is a set of programmatic web services that allow automated querying, retrieval, and integration of data from NCBI databases such as PubMed.
- F. None of above. chosen
Statements (69)
| Predicate | Object |
|---|---|
| instanceOf |
controlled vocabulary element
ⓘ
information retrieval tool ⓘ subheading ⓘ |
| administeredBy |
United States National Library of Medicine
ⓘ
surface form:
NLM
United States National Library of Medicine ⓘ |
| appliesTo |
MeSH
ⓘ
surface form:
MeSH descriptors
biomedical concepts ⓘ |
| domain |
biomedicine
ⓘ
health sciences ⓘ |
| hasAbbreviation | subheading ⓘ |
| hasAlternativeName |
MeSH subheadings
ⓘ
subheadings ⓘ |
| hasComponent |
Abnormalities qualifier
ⓘ
Administration and dosage qualifier ⓘ Adverse effects qualifier ⓘ Analysis qualifier ⓘ Anatomy and histology qualifier ⓘ Blood qualifier ⓘ Cerebrospinal fluid qualifier ⓘ Chemistry qualifier ⓘ Classification qualifier ⓘ Complications qualifier ⓘ Contraindications qualifier ⓘ Diagnosis qualifier ⓘ Diet therapy qualifier ⓘ Drug effects qualifier ⓘ Economics qualifier ⓘ Education qualifier ⓘ Epidemiology qualifier ⓘ Ethics qualifier ⓘ Etiology qualifier ⓘ Genetics qualifier ⓘ History qualifier ⓘ Immunology qualifier ⓘ Legislation and jurisprudence qualifier ⓘ Metabolism qualifier ⓘ Methods qualifier ⓘ Mortality qualifier ⓘ Nursing qualifier ⓘ Organization and administration qualifier ⓘ Pathology qualifier ⓘ Physiology qualifier ⓘ Prevention and control qualifier ⓘ Psychology qualifier ⓘ Radiation effects qualifier ⓘ Rehabilitation qualifier ⓘ Standards qualifier ⓘ Statistics and numerical data qualifier ⓘ Supply and distribution qualifier ⓘ Therapy qualifier ⓘ Trends qualifier ⓘ Utilization qualifier ⓘ |
| hasConstraint |
cannot be used with all MeSH headings
ⓘ
usage is governed by NLM indexing policies ⓘ |
| hasPurpose |
improve indexing precision
ⓘ
improve literature retrieval ⓘ refine biomedical subject headings ⓘ specify aspects of biomedical topics ⓘ |
| hasScopeNote | each qualifier has a defined scope of use ⓘ |
| introducedBy |
United States National Library of Medicine
ⓘ
surface form:
National Library of Medicine
|
| organizedBy |
MeSH Tree Structures
ⓘ
surface form:
National Library of Medicine MeSH hierarchy
|
| partOf |
MeSH
ⓘ
Medical Subject Headings ⓘ |
| usedFor |
indexing biomedical literature
ⓘ
structuring database records ⓘ supporting subject searching in MEDLINE ⓘ |
| usedIn |
MeSH
ⓘ
surface form:
Index Medicus
MEDLINE ⓘ PubMed ⓘ |
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: MeSH qualifiers Description of subject: MeSH qualifiers are standardized subheadings used in conjunction with Medical Subject Headings to refine and specify the aspects of biomedical topics in MEDLINE indexing and retrieval.
Referenced by (4)
Full triples — surface form annotated when it differs from this entity's canonical label.
this entity surface form:
MeSH Qualifiers
this entity surface form:
MeSH Entry Terms