MARC Geographic Areas
E386981
MARC Geographic Areas is a standardized code list used in library cataloging to represent geographic locations in MARC records.
All labels observed (1)
| Label | Occurrences |
|---|---|
| MARC Geographic Areas canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T3758954 — 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: MARC Geographic Areas Context triple: [Library of Congress Linked Data Service, hasPart, MARC Geographic Areas]
-
A.
U.S. Census Bureau regions and divisions
U.S. Census Bureau regions and divisions are a standardized geographic classification system that groups U.S. states into larger regions and smaller divisions for statistical and analytical purposes.
-
B.
United States Census Bureau designated areas
United States Census Bureau designated areas are specific geographic regions defined by the Census Bureau for the purpose of collecting, analyzing, and publishing statistical data about the population and economy.
-
C.
United States Office of Management and Budget metropolitan statistical area
The United States Office of Management and Budget metropolitan statistical area is a regionally defined urbanized area and its surrounding communities designated by the U.S. Office of Management and Budget for federal statistical and administrative purposes.
-
D.
Geographic Names Information System
The Geographic Names Information System is the official federal database of geographic feature names in the United States, providing standardized names and related information for use in maps and government publications.
-
E.
MapInfo Professional
MapInfo Professional is a desktop geographic information system (GIS) software application used for mapping, spatial analysis, and visualization of geographic data.
- 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: MARC Geographic Areas Target entity description: MARC Geographic Areas is a standardized code list used in library cataloging to represent geographic locations in MARC records.
-
A.
U.S. Census Bureau regions and divisions
U.S. Census Bureau regions and divisions are a standardized geographic classification system that groups U.S. states into larger regions and smaller divisions for statistical and analytical purposes.
-
B.
United States Census Bureau designated areas
United States Census Bureau designated areas are specific geographic regions defined by the Census Bureau for the purpose of collecting, analyzing, and publishing statistical data about the population and economy.
-
C.
United States Office of Management and Budget metropolitan statistical area
The United States Office of Management and Budget metropolitan statistical area is a regionally defined urbanized area and its surrounding communities designated by the U.S. Office of Management and Budget for federal statistical and administrative purposes.
-
D.
Geographic Names Information System
The Geographic Names Information System is the official federal database of geographic feature names in the United States, providing standardized names and related information for use in maps and government publications.
-
E.
MapInfo Professional
MapInfo Professional is a desktop geographic information system (GIS) software application used for mapping, spatial analysis, and visualization of geographic data.
- F. None of above. chosen
Statements (49)
| Predicate | Object |
|---|---|
| instanceOf |
code list
ⓘ
controlled vocabulary ⓘ library metadata standard ⓘ |
| appliesTo |
authority records
ⓘ
bibliographic records ⓘ holdings records ⓘ |
| codeLength | 2–7 characters ⓘ |
| codeType | alphanumeric code ⓘ |
| distinguishedFrom |
ISO 3166 country codes
ⓘ
linked to:
ISO 3166-1
MARC Country Codes ⓘ
linked to:
MARC standards
|
| domain |
bibliographic control
ⓘ
library cataloging ⓘ |
| enables |
interoperability between library systems
ⓘ
standardized representation of geographic areas in MARC ⓘ |
| governedBy | MARC 21 maintenance procedures ⓘ |
| hasAbbreviation | MARC GAC ⓘ |
| hasCategory |
continents
ⓘ
individual countries and territories ⓘ regions within continents ⓘ |
| hasDocumentationURL | https://www.loc.gov/marc/geoareas/ ⓘ |
| hasNotation | codes often derived from English-language place names ⓘ |
| hasScope | worldwide geographic coverage ⓘ |
| hasUpdatePolicy | periodically revised ⓘ |
| languageOfDocumentation | English ⓘ |
| maintainedBy | Library of Congress ⓘ |
| organizedBy |
countries
ⓘ
geopolitical regions ⓘ subnational regions ⓘ supranational regions ⓘ |
| partOf |
MARC 21 standards
ⓘ
linked to:
MARC standards
|
| publishedAs | online documentation ⓘ |
| publishedBy | Library of Congress Network Development and MARC Standards Office ⓘ |
| relatedTo |
Library of Congress Subject Headings
ⓘ
MARC 21 Format for Authority Data ⓘ
linked to:
MARC standards
MARC 21 Format for Bibliographic Data ⓘ
linked to:
MARC standards
|
| supports |
faceted searching by place
ⓘ
geographic access to catalog records ⓘ machine processing of geographic data ⓘ |
| usedBy |
bibliographic utilities
ⓘ
libraries ⓘ library vendors ⓘ |
| usedFor |
geographic coding in bibliographic records
ⓘ
representing geographic locations ⓘ |
| usedIn | MARC records ⓘ |
| usedInField |
MARC 043 field
ⓘ
MARC 052 field ⓘ MARC 651 field (indirectly via authority control) ⓘ |
| usedToEncode |
geographic area subfield $a in field 043
ⓘ
geographic classification subfield $b in field 052 ⓘ |
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: MARC Geographic Areas Description of subject: MARC Geographic Areas is a standardized code list used in library cataloging to represent geographic locations in MARC records.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.