Triple

T1390312
Position Surface form Disambiguated ID Type / Status
Subject RDFS E29939 entity
Predicate partOf P40 FINISHED
Object Semantic Web E29601 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: Semantic Web | Statement: [RDFS, partOf, Semantic Web]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Semantic Web
Context triple: [RDFS, partOf, Semantic Web]
  • A. Semantic Web chosen
    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.
  • B. 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.
  • C. 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.
  • D. OWL
    OWL (Web Ontology Language) is a W3C-recommended semantic web language used to define and share rich, machine-interpretable ontologies on the web.
  • E. OWL 2 QL
    OWL 2 QL is a lightweight profile of the Web Ontology Language designed to enable efficient query answering over large datasets using standard relational database technologies.
  • 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_69a498dc92f8819094a1108f8ac90f43 completed March 1, 2026, 7:51 p.m.
NER Named-entity recognition batch_69a4c35e023c8190b45688796d90534b completed March 1, 2026, 10:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69acde24d1d88190bd6d602923270cd1 completed March 8, 2026, 2:25 a.m.
Created at: March 1, 2026, 7:59 p.m.