PROV
E664409
PROV is a W3C specification for representing and exchanging provenance information about data and processes on the Web.
All labels observed (7)
| Label | Occurrences |
|---|---|
| PROV canonical | 1 |
| PROV Data Model | 1 |
| PROV Data Model (PROV-DM) | 1 |
| PROV Ontology (PROV-O) | 1 |
| PROV-Constraints | 1 |
| PROV-DC | 1 |
| Provenance Data Model | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T7423114 — 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: PROV Context triple: [W3C Semantic Web Activity, usesStandard, PROV]
-
A.
RDF
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.
-
B.
OWL
OWL (Web Ontology Language) is a W3C-recommended semantic web language used to define and share rich, machine-interpretable ontologies on the web.
-
C.
Semantic Web
The Semantic Web is an extension of the current web in which information is given well-defined meaning through standards like RDF and OWL, enabling machines to understand, share, and reason about data across different systems.
-
D.
W3C Semantic Web Activity
W3C Semantic Web Activity is a World Wide Web Consortium initiative that coordinates standards, working groups, and community efforts to develop and promote the Semantic Web.
-
E.
RDF 1.1 Semantics
RDF 1.1 Semantics is a W3C specification that formally defines the meaning and logical foundations of RDF data, enabling consistent interpretation and reasoning across RDF graphs.
- 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: PROV Target entity description: PROV is a W3C specification for representing and exchanging provenance information about data and processes on the Web.
-
A.
RDF
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.
-
B.
OWL
OWL (Web Ontology Language) is a W3C-recommended semantic web language used to define and share rich, machine-interpretable ontologies on the web.
-
C.
Semantic Web
The Semantic Web is an extension of the current web in which information is given well-defined meaning through standards like RDF and OWL, enabling machines to understand, share, and reason about data across different systems.
-
D.
W3C Semantic Web Activity
W3C Semantic Web Activity is a World Wide Web Consortium initiative that coordinates standards, working groups, and community efforts to develop and promote the Semantic Web.
-
E.
RDF 1.1 Semantics
RDF 1.1 Semantics is a W3C specification that formally defines the meaning and logical foundations of RDF data, enabling consistent interpretation and reasoning across RDF graphs.
- F. None of above. chosen
Statements (50)
| Predicate | Object |
|---|---|
| instanceOf |
W3C specification
ⓘ
provenance data model ⓘ |
| abbreviationFor |
Provenance Data Model
ⓘ
linked to:
PROV
|
| appliesTo |
datasets
ⓘ
services ⓘ software processes ⓘ workflows ⓘ |
| concernedWith |
data provenance
ⓘ
process provenance ⓘ provenance ⓘ |
| defines |
activities
ⓘ
agents ⓘ entities ⓘ relations between entities, activities, and agents ⓘ |
| domain | World Wide Web ⓘ |
| fullName |
PROV Data Model
ⓘ
linked to:
PROV
|
| goal |
enable exchange of provenance information across heterogeneous systems
ⓘ
provide a common model for provenance on the Web ⓘ |
| governingBody | W3C Provenance Working Group ⓘ |
| hasComponent |
PROV Access and Query (PROV-AQ)
ⓘ
PROV Constraints ⓘ PROV Data Model (PROV-DM) ⓘ
linked to:
PROV
PROV Ontology (PROV-O) ⓘ
linked to:
PROV
PROV-DC mapping to Dublin Core ⓘ PROV-N notation ⓘ PROV-XML schema ⓘ |
| hasSerialization |
PROV-N textual notation
ⓘ
RDF ⓘ XML ⓘ |
| includes |
PROV-AQ
ⓘ
PROV-Constraints ⓘ
linked to:
PROV
PROV-DC ⓘ
linked to:
PROV
PROV-DM ⓘ PROV-N ⓘ PROV-O ⓘ PROV-XML ⓘ |
| publisher | World Wide Web Consortium ⓘ |
| relatedTo |
Dublin Core
ⓘ
Linked Data ⓘ OWL ⓘ RDF ⓘ |
| standardizes |
exchange of provenance information
ⓘ
representation of provenance information ⓘ |
| supports |
accountability
ⓘ
data lineage tracking ⓘ debugging of data processing workflows ⓘ reproducibility of results ⓘ trust assessment ⓘ |
| usedFor |
interoperable provenance exchange
ⓘ
provenance interoperability across systems ⓘ |
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: PROV Description of subject: PROV is a W3C specification for representing and exchanging provenance information about data and processes on the Web.
Referenced by (7)
Full triples — surface form annotated when it differs from this entity's canonical label.
linked to: PROV
linked to: PROV
linked to: PROV