Triple

T7086740
Position Surface form Disambiguated ID Type / Status
Subject OWL DL E165093 entity
Predicate hasSemanticsDefinedBy P74447 FINISHED
Object Model-theoretic semantics 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: Model-theoretic semantics | Statement: [OWL DL, hasSemanticsDefinedBy, Model-theoretic semantics]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasSemanticsDefinedBy
Context triple: [OWL DL, hasSemanticsDefinedBy, Model-theoretic semantics]
  • A. hasSemantics
    Indicates that one entity carries or encodes the meaning, interpretation, or semantic content associated with another entity.
  • B. hasSemanticRestriction
    Indicates that a concept or relation is constrained in meaning or usage by specific semantic conditions or limitations.
  • C. isCommonlyDefinedBy
    Indicates that something is typically or most frequently characterized, specified, or described by a particular definition, property, or set of criteria.
  • D. baseDefinedBy
    Indicates that something’s foundational properties, structure, or interpretation are determined or specified by a particular base or underlying system.
  • E. scopeDefinedBy
    Indicates that the extent or boundaries of one entity’s applicability, influence, or validity are determined or constrained by another entity.
  • F. None of above. chosen

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.
PD Predicate disambiguation batch_69c6e1c172148190bf290c07bf579d1f completed March 27, 2026, 8 p.m.
PDg Predicate description generation batch_69c6e24af9ac8190b24eee206ba8be36 completed March 27, 2026, 8:02 p.m.
Created at: March 27, 2026, 2:41 p.m.