Triple

T9028109
Position Surface form Disambiguated ID Type / Status
Subject Apple silicon transition E216096 entity
Predicate affectsSoftwareCompatibility P13559 FINISHED
Object macOS applications 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: macOS applications | Statement: [Apple silicon transition, affectsSoftwareCompatibility, macOS applications]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: affectsSoftwareCompatibility
Context triple: [Apple silicon transition, affectsSoftwareCompatibility, macOS applications]
  • A. hasSoftwareCompatibilityWith
    Indicates that one software system can operate correctly and effectively with another software system, without conflicts or required modifications.
  • B. affectsProgram chosen
    Indicates that one entity produces an influence or change on a program, altering its behavior, state, or outcome.
  • C. compatibilityNote
    Indicates that there is an explanatory note or comment about how well two entities are compatible or work together.
  • D. checksCompatibilityWith
    Indicates that one entity evaluates whether it is compatible or can function harmoniously with another entity.
  • E. isGenerallyCompatibleWith
    Indicates that two entities can typically function or coexist together without significant conflict, issues, or need for special adaptation.
  • 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_69ca83a5fa88819088144801b4dd7245 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6a7fcb308190af90d6be8700e498 completed April 1, 2026, 12:44 a.m.
PD Predicate disambiguation batch_69cc5ee132f08190940749c7c522e4c1 completed March 31, 2026, 11:55 p.m.
Created at: March 30, 2026, 7:07 p.m.