DANMARC2
E27071
DANMARC2 is the Danish implementation of the MARC bibliographic data format, used by libraries in Denmark for cataloging and exchanging metadata.
All labels observed (1)
| Label | Occurrences |
|---|---|
| DANMARC2 canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T214305 — 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: DANMARC2 Context triple: [MARC standards, hasComponent, DANMARC2]
-
A.
DASC
DASC is a leading annual technical conference focused on digital avionics systems, organized jointly by IEEE and AIAA.
-
B.
DAL
DAL is the stock ticker symbol for Delta Air Lines, a major U.S.-based international airline.
-
C.
DSCD
DSCD is the Dynamic Systems and Control Division of the American Society of Mechanical Engineers, focusing on research, education, and professional activities in systems dynamics, control theory, and related technologies.
-
D.
DCA
DCA (Defense Communications Agency) was a U.S. Department of Defense organization responsible for managing and overseeing military communications networks, including early internet precursor systems.
-
E.
DCA
DCA is the three-letter IATA airport code for Ronald Reagan Washington National Airport, the primary domestic airport serving Washington, D.C.
- 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: DANMARC2 Target entity description: DANMARC2 is the Danish implementation of the MARC bibliographic data format, used by libraries in Denmark for cataloging and exchanging metadata.
-
A.
DASC
DASC is a leading annual technical conference focused on digital avionics systems, organized jointly by IEEE and AIAA.
-
B.
DAL
DAL is the stock ticker symbol for Delta Air Lines, a major U.S.-based international airline.
-
C.
DSCD
DSCD is the Dynamic Systems and Control Division of the American Society of Mechanical Engineers, focusing on research, education, and professional activities in systems dynamics, control theory, and related technologies.
-
D.
DCA
DCA (Defense Communications Agency) was a U.S. Department of Defense organization responsible for managing and overseeing military communications networks, including early internet precursor systems.
-
E.
DCA
DCA is the three-letter IATA airport code for Ronald Reagan Washington National Airport, the primary domestic airport serving Washington, D.C.
- F. None of above. chosen
Statements (25)
| Predicate | Object |
|---|---|
| instanceOf |
MARC format implementation
ⓘ
bibliographic data format ⓘ |
| basedOn |
MARC standards
ⓘ
surface form:
MARC
|
| compatibleWith | MARC21 (conceptually) ⓘ |
| country | Denmark ⓘ |
| dataExchangeFormatFor | library systems in Denmark ⓘ |
| domain | library science ⓘ |
| hasAbbreviation | DANMARC2 ⓘ |
| hasFieldStructure | tag-indicator-subfield ⓘ |
| hasTypeOfContent | machine-readable cataloging data ⓘ |
| language | Danish ⓘ |
| maintainedBy |
Danish libraries
ⓘ
surface form:
Danish library community
|
| purpose |
interoperable data exchange
ⓘ
standardized cataloging ⓘ |
| sector | national library infrastructure ⓘ |
| supports |
authority records
ⓘ
bibliographic records ⓘ |
| supportsEncoding | structured bibliographic metadata ⓘ |
| usedBy |
academic libraries in Denmark
ⓘ
public libraries in Denmark ⓘ special libraries in Denmark ⓘ |
| usedFor |
library cataloging
ⓘ
metadata exchange ⓘ |
| usedIn | Danish libraries ⓘ |
| writingSystem | Latin script ⓘ |
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: DANMARC2 Description of subject: DANMARC2 is the Danish implementation of the MARC bibliographic data format, used by libraries in Denmark for cataloging and exchanging metadata.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.