MODS (Metadata Object Description Schema)
E605020
MODS (Metadata Object Description Schema) is an XML-based bibliographic description standard designed to provide a flexible, user-friendly alternative to MARC for describing and sharing library and cultural heritage resources.
All labels observed (4)
| Label | Occurrences |
|---|---|
| MODS (Metadata Object Description Schema) canonical | 2 |
| MODS 3.0 | 1 |
| MODS 3.3 | 1 |
| Metadata Object Description Schema | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T6519662 — 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: MODS (Metadata Object Description Schema) Context triple: [Library of Congress Network Development and MARC Standards Office, developsStandard, MODS (Metadata Object Description Schema)]
-
A.
S-100 metadata framework
The S-100 metadata framework is an IHO-developed standard that defines a flexible, interoperable structure for describing and managing geospatial and hydrographic data within the broader S-100 universal hydrographic data model.
-
B.
METS
METS (Metadata Encoding and Transmission Standard) is an XML-based standard for encoding descriptive, administrative, and structural metadata for complex digital library objects.
-
C.
Maschinelles Austauschformat für Bibliotheken
Maschinelles Austauschformat für Bibliotheken (MAB) is a German machine-readable data exchange format historically used by libraries to encode and share bibliographic and authority records.
-
D.
Dublin Core
Dublin Core is a widely used standard for describing digital resources through a simple, generic set of metadata elements to support discovery and interoperability across systems.
-
E.
PREMIS
PREMIS is an international standard for describing preservation metadata needed to support the long-term management and usability of digital objects.
- 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: MODS (Metadata Object Description Schema) Target entity description: MODS (Metadata Object Description Schema) is an XML-based bibliographic description standard designed to provide a flexible, user-friendly alternative to MARC for describing and sharing library and cultural heritage resources.
-
A.
S-100 metadata framework
The S-100 metadata framework is an IHO-developed standard that defines a flexible, interoperable structure for describing and managing geospatial and hydrographic data within the broader S-100 universal hydrographic data model.
-
B.
METS
METS (Metadata Encoding and Transmission Standard) is an XML-based standard for encoding descriptive, administrative, and structural metadata for complex digital library objects.
-
C.
Maschinelles Austauschformat für Bibliotheken
Maschinelles Austauschformat für Bibliotheken (MAB) is a German machine-readable data exchange format historically used by libraries to encode and share bibliographic and authority records.
-
D.
Dublin Core
Dublin Core is a widely used standard for describing digital resources through a simple, generic set of metadata elements to support discovery and interoperability across systems.
-
E.
PREMIS
PREMIS is an international standard for describing preservation metadata needed to support the long-term management and usability of digital objects.
- F. None of above. chosen
Statements (52)
| Predicate | Object |
|---|---|
| instanceOf |
XML schema
ⓘ
bibliographic description standard ⓘ metadata schema ⓘ |
| abbreviation | MODS ⓘ |
| basedOn | MARC 21 NERFINISHED ⓘ |
| compatibleWith |
Dublin Core
NERFINISHED
ⓘ
MARCXML NERFINISHED ⓘ METS NERFINISHED ⓘ PREMIS NERFINISHED ⓘ |
| designedAs | alternative to MARC ⓘ |
| developedBy | Library of Congress NERFINISHED ⓘ |
| documentationURL | https://www.loc.gov/standards/mods/ ⓘ |
| fullName | Metadata Object Description Schema NERFINISHED ⓘ |
| governedBy | MODS Editorial Committee NERFINISHED ⓘ |
| hasCharacteristic |
XML-based
ⓘ
flexible ⓘ human-readable tags ⓘ machine-readable ⓘ user-friendly ⓘ |
| hasElement |
abstract
ⓘ
accessCondition ⓘ classification ⓘ genre ⓘ identifier ⓘ language ⓘ location ⓘ name ⓘ originInfo ⓘ physicalDescription ⓘ relatedItem ⓘ subject ⓘ titleInfo ⓘ typeOfResource ⓘ |
| hasFormat | XML ⓘ |
| hasPurpose |
bibliographic description
ⓘ
metadata sharing ⓘ resource discovery ⓘ |
| maintainedBy | Library of Congress NERFINISHED ⓘ |
| namespaceURI | http://www.loc.gov/mods/v3 ⓘ |
| supports |
hierarchical metadata structures
ⓘ
interoperability with MARC ⓘ linked digital objects ⓘ multilingual metadata ⓘ rich bibliographic description ⓘ |
| usedFor |
cultural heritage resources
ⓘ
digital collections ⓘ institutional repositories ⓘ library resources ⓘ |
| usedIn |
archives
ⓘ
cultural heritage institutions ⓘ digital libraries ⓘ museums ⓘ |
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: MODS (Metadata Object Description Schema) Description of subject: MODS (Metadata Object Description Schema) is an XML-based bibliographic description standard designed to provide a flexible, user-friendly alternative to MARC for describing and sharing library and cultural heritage resources.
Referenced by (5)
Full triples — surface form annotated when it differs from this entity's canonical label.
Library of Congress Network Development and MARC Standards Office
→
developsStandard
→
MODS (Metadata Object Description Schema)
ⓘ
Library of Congress Network Development and MARC Standards Office
→
maintainsStandard
→
MODS (Metadata Object Description Schema)
ⓘ
this entity surface form:
Metadata Object Description Schema
this entity surface form:
MODS 3.0
this entity surface form:
MODS 3.3