Triple

T6910544
Position Surface form Disambiguated ID Type / Status
Subject rdfs:ContainerMembershipProperty E159919 entity
Predicate definedInSpecification P5374 FINISHED
Object RDF Schema 1.1 E29939 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: RDF Schema 1.1 | Statement: [rdfs:ContainerMembershipProperty, definedInSpecification, RDF Schema 1.1]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: RDF Schema 1.1
Context triple: [rdfs:ContainerMembershipProperty, definedInSpecification, RDF Schema 1.1]
  • A. RDF 1.1 Concepts and Abstract Syntax
    RDF 1.1 Concepts and Abstract Syntax is a W3C specification that defines the core data model, terminology, and abstract syntax for the Resource Description Framework (RDF).
  • B. 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.
  • C. RDF 1.1 XML Syntax
    RDF 1.1 XML Syntax is a W3C specification that defines how RDF data is represented and serialized using XML.
  • D. RDFS chosen
    RDFS (RDF Schema) is a semantic web vocabulary language used to define the structure, classes, and properties of RDF data.
  • E. RDF 1.0
    RDF 1.0 is the original W3C standard model for representing information about web resources using subject–predicate–object triples.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69c68839ccb88190b4aa5cc1aca3448f completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6d9c00e948190b103a2b2a2738bb1 completed March 27, 2026, 7:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7490c95548190a493d3fd23d1d7a5 completed March 28, 2026, 3:20 a.m.
Created at: March 27, 2026, 2:25 p.m.