NORMARC
E27525
NORMARC is a Norwegian implementation of the MARC bibliographic metadata standard used by libraries to catalog and exchange information about their collections.
All labels observed (1)
| Label | Occurrences |
|---|---|
| NORMARC canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T214304 — 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: NORMARC Context triple: [MARC standards, hasComponent, NORMARC]
-
A.
KORMARC
KORMARC is the Korean implementation of the MARC bibliographic data format standard used for cataloging and exchanging library records in Korea.
-
B.
Norman
Norman is a masculine given name of English origin that became widely used in the English-speaking world.
-
C.
NAM
NAM is the commonly used acronym for the National Academy of Medicine, a leading U.S. nonprofit institution that provides expert advice on health, medicine, and biomedical science.
-
D.
MARC
MARC is a commuter rail service in Maryland that connects Washington, D.C. with Baltimore and other regional destinations.
-
E.
Milhous
Milhous is the distinctive middle name of Richard Nixon, the 37th president of the United States.
- 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: NORMARC Target entity description: NORMARC is a Norwegian implementation of the MARC bibliographic metadata standard used by libraries to catalog and exchange information about their collections.
-
A.
KORMARC
KORMARC is the Korean implementation of the MARC bibliographic data format standard used for cataloging and exchanging library records in Korea.
-
B.
Norman
Norman is a masculine given name of English origin that became widely used in the English-speaking world.
-
C.
NAM
NAM is the commonly used acronym for the National Academy of Medicine, a leading U.S. nonprofit institution that provides expert advice on health, medicine, and biomedical science.
-
D.
MARC
MARC is a commuter rail service in Maryland that connects Washington, D.C. with Baltimore and other regional destinations.
-
E.
Milhous
Milhous is the distinctive middle name of Richard Nixon, the 37th president of the United States.
- F. None of above. chosen
Statements (29)
| Predicate | Object |
|---|---|
| instanceOf |
MARC implementation
ⓘ
bibliographic metadata format ⓘ library cataloging standard ⓘ |
| appliesTo |
authority records
ⓘ
bibliographic records ⓘ holdings records ⓘ |
| basedOn |
MARC
ⓘ
linked to:
MARC standards
|
| compatibleWith | international MARC formats ⓘ |
| countryOfOrigin | Norway ⓘ |
| domain | library and information science ⓘ |
| formatType | text-based record format ⓘ |
| hasFieldStructure |
MARC fields
ⓘ
MARC indicators ⓘ MARC subfields ⓘ |
| hasScope | national bibliographic standard for Norway ⓘ |
| language |
Norwegian
ⓘ
linked to:
Norwegian language
|
| relatedTo |
MARC 21
ⓘ
linked to:
MARC standards
UNIMARC ⓘ
linked to:
MARC standards
|
| sector | library sector in Norway ⓘ |
| standardFor | cataloging rules in Norway ⓘ |
| supports |
exchange of bibliographic metadata
ⓘ
machine-readable cataloging ⓘ |
| useCase |
bibliographic data exchange
ⓘ
library cataloging ⓘ |
| usedBy |
Norwegian libraries
ⓘ
academic libraries in Norway ⓘ public libraries in Norway ⓘ |
| usedFor |
describing library collections
ⓘ
resource discovery in library catalogs ⓘ |
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: NORMARC Description of subject: NORMARC is a Norwegian implementation of the MARC bibliographic metadata standard used by libraries to catalog and exchange information about their collections.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.