Triple

T32122972
Position Surface form Disambiguated ID Type / Status
Subject NSSecureCoding E820428 entity
Predicate requiresPropertySemantics P42360 FINISHED
Object class property 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: class property | Statement: [NSSecureCoding, requiresPropertySemantics, class property]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: requiresPropertySemantics
Context triple: [NSSecureCoding, requiresPropertySemantics, class property]
  • A. requiresProperty chosen
    Indicates that one entity depends on another entity possessing a specific property or attribute in order for a condition, action, or relationship to hold.
  • B. hasSemantics
    Indicates that one entity carries or encodes the meaning, interpretation, or semantic content associated with another entity.
  • C. hasSemanticsDefinedBy
    Indicates that the meaning or interpretation of one entity is specified, constrained, or determined by another entity.
  • D. hasSemanticRestriction
    Indicates that a concept or relation is constrained in meaning or usage by specific semantic conditions or limitations.
  • E. usesProp
    Indicates that one entity employs, utilizes, or makes use of a particular property, resource, or object in performing an action or fulfilling a function.
  • 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_69f34902d42c819083a8e6bba9a8bb9a completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69fed357b2b4819084c709056a54461f completed May 9, 2026, 6:25 a.m.
PD Predicate disambiguation batch_69fed103d9cc81909b11619745110c61 completed May 9, 2026, 6:15 a.m.
Created at: May 1, 2026, 12:28 a.m.