Triple

T7277834
Position Surface form Disambiguated ID Type / Status
Subject OWL 2 EL E163073 entity
Predicate partOfStandard P35 FINISHED
Object OWL 2 Web Ontology Language Profiles (Second Edition) E643834 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: OWL 2 Web Ontology Language Profiles (Second Edition) | Statement: [OWL 2 EL, partOfStandard, OWL 2 Web Ontology Language Profiles (Second Edition)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: OWL 2 Web Ontology Language Profiles (Second Edition)
Context triple: [OWL 2 EL, partOfStandard, OWL 2 Web Ontology Language Profiles (Second Edition)]
  • A. OWL 2 Web Ontology Language chosen
    OWL 2 Web Ontology Language is a W3C-standardized knowledge representation language used to create, share, and reason over rich ontologies on the Semantic Web.
  • B. OWL 2 Full
    OWL 2 Full is a highly expressive semantic web ontology language variant that fully integrates OWL with RDF, allowing powerful but undecidable reasoning over web data.
  • C. OWL 2 EL
    OWL 2 EL is a lightweight profile of the Web Ontology Language designed for efficient reasoning over large-scale ontologies, particularly in domains like biomedical terminologies.
  • D. 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.
  • E. OWL 2 functional-style syntax
    OWL 2 functional-style syntax is a formal, logic-oriented textual notation for writing OWL 2 ontologies in a precise and machine-readable way.
  • 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_69c6885c5964819085b209701769877f completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6eb309a648190a2a2f2cca9ce2f56 completed March 27, 2026, 8:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7fa6d84b88190916b1d9ddb0d1d0d completed March 28, 2026, 3:57 p.m.
Created at: March 27, 2026, 2:59 p.m.