Triple

T7196441
Position Surface form Disambiguated ID Type / Status
Subject OWL 2 RL E168626 entity
Predicate hasSemanticsCompatibleWith P52899 FINISHED
Object RDF-based semantics of OWL 2 LITERAL 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-based semantics of OWL 2 | Statement: [OWL 2 RL, hasSemanticsCompatibleWith, RDF-based semantics of OWL 2]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasSemanticsCompatibleWith
Context triple: [OWL 2 RL, hasSemanticsCompatibleWith, RDF-based semantics of OWL 2]
  • A. hasSemantics
    Indicates that one entity carries or encodes the meaning, interpretation, or semantic content associated with another entity.
  • B. hasSemanticsDefinedBy
    Indicates that the meaning or interpretation of one entity is specified, constrained, or determined by another entity.
  • C. checksCompatibilityWith chosen
    Indicates that one entity evaluates whether it is compatible or can function harmoniously with another entity.
  • D. hasSemanticRestriction
    Indicates that a concept or relation is constrained in meaning or usage by specific semantic conditions or limitations.
  • E. requiresCompatibilityWith
    Indicates that one entity can only function correctly or be used if it is compatible with another specified entity.
  • F. None of above.

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_69c68a5376748190bb500f03df86e93e completed March 27, 2026, 1:46 p.m.
NER Named-entity recognition batch_69c6e928ecdc8190a7f3feaf6d28781b completed March 27, 2026, 8:31 p.m.
PD Predicate disambiguation batch_69c6e752385c819096fbab55566ee2a8 completed March 27, 2026, 8:23 p.m.
Created at: March 27, 2026, 2:51 p.m.