Triple

T10827487
Position Surface form Disambiguated ID Type / Status
Subject W3C RDF Core Working Group E255530 entity
Predicate relatedStandard P37 FINISHED
Object RDF Semantics E178085 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 Semantics | Statement: [W3C RDF Core Working Group, relatedStandard, RDF Semantics]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: RDF Semantics
Context triple: [W3C RDF Core Working Group, relatedStandard, RDF Semantics]
  • A. RDF 1.1 Semantics chosen
    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.
  • B. 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).
  • C. RDF Vocabulary Description Language 1.0: RDF Schema
    RDF Vocabulary Description Language 1.0: RDF Schema is a W3C specification that provides a basic type system and schema language for defining classes, properties, and relationships in RDF data.
  • D. Cool URIs for the Semantic Web
    Cool URIs for the Semantic Web is a W3C note that provides best-practice guidelines on designing stable, resolvable web identifiers (URIs) for publishing and linking semantic web data.
  • E. OWL 2 RL
    OWL 2 RL is a profile of the Web Ontology Language designed for scalable reasoning using rule-based systems, enabling efficient inference over large datasets.
  • 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_69d6aa8081448190a9324184f2bd1c26 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d734d2b9f88190b79a7b168d7836c8 completed April 9, 2026, 5:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69e23b7578688190975c087d28808be5 completed April 17, 2026, 1:53 p.m.
Created at: April 8, 2026, 9:19 p.m.