Triple

T7086716
Position Surface form Disambiguated ID Type / Status
Subject OWL DL E165093 entity
Predicate subLanguageOf P19951 FINISHED
Object OWL E4407 NE FINISHED

How this triple was built (3 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: OWL | Statement: [OWL DL, subLanguageOf, OWL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: OWL
Context triple: [OWL DL, subLanguageOf, OWL]
  • A. OWL chosen
    OWL (Web Ontology Language) is a W3C-recommended semantic web language used to define and share rich, machine-interpretable ontologies on the web.
  • B. OWL DL
    OWL DL is a sublanguage of the Web Ontology Language that balances expressive power with computational decidability by adhering closely to description logic foundations.
  • C. OWL Full
    OWL Full is the most expressive and semantically unrestricted variant of the Web Ontology Language, allowing full RDF compatibility at the cost of computational decidability.
  • D. 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.
  • 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.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: subLanguageOf
Context triple: [OWL DL, subLanguageOf, OWL]
  • A. hasSubLanguage chosen
    Indicates that one language is a subset, variant, or specialized form of another language.
  • B. usesLanguageSubfamily
    Indicates that one entity communicates or operates using a language that belongs to a specified language subfamily.
  • C. linguisticSubgroup
    Indicates that one linguistic group forms a subordinate or specialized subset within a larger linguistic group or family.
  • D. isLanguageOf
    Indicates that a particular language is used as the official or primary language associated with a given entity (such as a person, document, or region).
  • E. macrolanguageOf
    Indicates that one language functions as a macrolanguage encompassing or grouping together one or more related individual languages.
  • F. None of above.

Provenance (4 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_69c6887d98408190912b9580666b0c1d completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e513d9b08190a8a8d213c2264ce4 completed March 27, 2026, 8:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69c79484a644819091fac0e361f77c91 completed March 28, 2026, 8:42 a.m.
PD Predicate disambiguation batch_69c6e1c172148190bf290c07bf579d1f completed March 27, 2026, 8 p.m.
Created at: March 27, 2026, 2:41 p.m.