Triple

T29912169
Position Surface form Disambiguated ID Type / Status
Subject AVAudioSession E759694 entity
Predicate supportsBackgroundMode P128019 FINISHED
Object audio 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: audio | Statement: [AVAudioSession, supportsBackgroundMode, audio]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: supportsBackgroundMode
Context triple: [AVAudioSession, supportsBackgroundMode, audio]
  • A. supportsBackgroundExecution chosen
    Indicates that an entity allows or enables a process, task, or operation to continue running while in the background rather than only when actively in use.
  • B. hasBackground
    Indicates that an entity possesses or is associated with a particular background, such as context, setting, or prior circumstances.
  • C. supportsAnimationsOnBackgroundThread
    Indicates that the subject is capable of running or handling animations on a background (non-main) thread.
  • D. mayRequireBackgroundIn
    Indicates that performing or understanding one entity may necessitate prior knowledge, experience, or qualifications in another domain or subject.
  • E. serviceBackground
    Indicates that one entity provides contextual or supporting services that form the operational or functional background for another 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_69f224600590819085e148a01c056ef6 completed April 29, 2026, 3:31 p.m.
NER Named-entity recognition batch_6a037c876524819098545e6037d3107d completed May 12, 2026, 7:16 p.m.
PD Predicate disambiguation batch_6a0379e0f3d88190a4ee7b0673f1ef90 completed May 12, 2026, 7:05 p.m.
Created at: April 29, 2026, 6:10 p.m.