RDF
E29602
RDF (Resource Description Framework) is a standard model for data interchange on the Web that represents information as subject–predicate–object triples to enable structured, machine-readable metadata and knowledge graphs.
All labels observed (12)
| Label | Occurrences |
|---|---|
| RDF canonical | 29 |
| Resource Description Framework | 8 |
| RDF 1.1 | 2 |
| MADS/RDF | 1 |
| RDF 1.0 | 1 |
| RDF 1.1 TriG | 1 |
| RDF 1.1 Turtle | 1 |
| RDF data model | 1 |
| RDF model theory | 1 |
| RDF syntax | 1 |
| W3C RDF | 1 |
| rdf:Seq | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T230883 — 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: RDF Context triple: [OWL, compatibleWith, RDF]
-
A.
OWL
OWL (Web Ontology Language) is a W3C-recommended semantic web language used to define and share rich, machine-interpretable ontologies on the web.
-
B.
BIBFRAME
BIBFRAME (Bibliographic Framework) is a linked data model and standard developed by the Library of Congress to replace MARC for describing and sharing bibliographic information on the web.
-
C.
METS
METS (Metadata Encoding and Transmission Standard) is an XML-based standard for encoding descriptive, administrative, and structural metadata for complex digital library objects.
-
D.
MARC
MARC is a commuter rail service in Maryland that connects Washington, D.C. with Baltimore and other regional destinations.
-
E.
Z39.50
Z39.50 is a client-server protocol used primarily by libraries and information services to search and retrieve bibliographic and related data from remote databases in a standardized way.
- 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: RDF Target entity description: RDF (Resource Description Framework) is a standard model for data interchange on the Web that represents information as subject–predicate–object triples to enable structured, machine-readable metadata and knowledge graphs.
-
A.
OWL
OWL (Web Ontology Language) is a W3C-recommended semantic web language used to define and share rich, machine-interpretable ontologies on the web.
-
B.
BIBFRAME
BIBFRAME (Bibliographic Framework) is a linked data model and standard developed by the Library of Congress to replace MARC for describing and sharing bibliographic information on the web.
-
C.
METS
METS (Metadata Encoding and Transmission Standard) is an XML-based standard for encoding descriptive, administrative, and structural metadata for complex digital library objects.
-
D.
MARC
MARC is a commuter rail service in Maryland that connects Washington, D.C. with Baltimore and other regional destinations.
-
E.
Z39.50
Z39.50 is a client-server protocol used primarily by libraries and information services to search and retrieve bibliographic and related data from remote databases in a standardized way.
- F. None of above. chosen
Statements (64)
| Predicate | Object |
|---|---|
| instanceOf |
W3C standard
ⓘ
data interchange model ⓘ knowledge representation language ⓘ metadata framework ⓘ |
| abbreviation | RDF ⓘ |
| backwardsCompatibleWith | RDF 1.0 ⓘ |
| basedOn | directed labeled graph model ⓘ |
| conformsToParadigm | Semantic Web ⓘ |
| coreConcept |
graph
ⓘ
object ⓘ predicate ⓘ subject ⓘ triple ⓘ |
| currentVersion |
RDF 1.1
ⓘ
linked to:
RDF
|
| definedInSpecification |
RDF 1.1 Concepts and Abstract Syntax
ⓘ
RDF 1.1 N-Quads ⓘ RDF 1.1 N-Triples ⓘ
linked to:
N-Triples
RDF 1.1 Semantics ⓘ RDF 1.1 TriG ⓘ
linked to:
RDF
RDF 1.1 Turtle ⓘ
linked to:
RDF
RDF 1.1 XML Syntax ⓘ |
| enables |
data integration
ⓘ
data linking across datasets ⓘ knowledge graphs ⓘ |
| fullName |
Resource Description Framework
ⓘ
linked to:
RDF
|
| hasComponent |
RDF dataset
ⓘ
RDF graph ⓘ RDF triple ⓘ |
| hasFeature |
extensibility via vocabularies
ⓘ
monotonic semantics ⓘ open-world assumption ⓘ schema-less data model ⓘ |
| hasSerialization |
JSON-LD
ⓘ
N-Quads ⓘ N-Triples ⓘ RDF/XML ⓘ RDFa ⓘ TriG ⓘ Turtle ⓘ |
| hasVersion |
RDF 1.0
ⓘ
linked to:
RDF
RDF 1.1 ⓘ
linked to:
RDF
|
| maintainedBy |
W3C
ⓘ
linked to:
World Wide Web Consortium
World Wide Web Consortium ⓘ |
| primaryPurpose |
data interchange on the Web
ⓘ
knowledge graph representation ⓘ representation of structured metadata ⓘ |
| RDF1.1StandardizedIn | 2014 ⓘ |
| relatedStandard |
OWL
ⓘ
RDFS ⓘ SHACL ⓘ SPARQL ⓘ |
| representsInformationAs | subject–predicate–object triples ⓘ |
| standardizedBy |
W3C
ⓘ
linked to:
World Wide Web Consortium
|
| supports |
linked data
ⓘ
machine-readable metadata ⓘ semantic interoperability ⓘ |
| usedFor |
data integration across heterogeneous sources
ⓘ
publishing open data ⓘ semantic web applications ⓘ vocabularies and ontologies ⓘ |
| usesIdentifierType |
IRI
ⓘ
URI ⓘ blank node ⓘ literal ⓘ |
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: RDF Description of subject: RDF (Resource Description Framework) is a standard model for data interchange on the Web that represents information as subject–predicate–object triples to enable structured, machine-readable metadata and knowledge graphs.
Referenced by (48)
Full triples — surface form annotated when it differs from this entity's canonical label.
linked to: RDF
linked to: RDF
linked to: RDF
linked to: RDF
linked to: RDF
linked to: RDF
linked to: RDF
linked to: RDF
linked to: RDF
linked to: RDF
linked to: RDF
linked to: RDF
linked to: RDF
linked to: RDF
linked to: RDF
linked to: RDF
linked to: RDF