Triple

T955865
Position Surface form Disambiguated ID Type / Status
Subject AirPods E20624 entity
Predicate audioTechnology P6774 FINISHED
Object AAC 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: AAC | Statement: [AirPods, audioTechnology, AAC]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: audioTechnology
Context triple: [AirPods, audioTechnology, AAC]
  • A. soundReproductionMethod
    Indicates the method or technique used to reproduce or play back sound.
  • B. audioChannels
    Indicates the number or configuration of distinct audio signal paths (such as mono, stereo, or surround) used in a recording, transmission, or playback.
  • C. soundCarrier
    Indicates that one entity serves as a medium or object that carries, stores, or transmits sound for another entity.
  • D. audioModulation
    Indicates a relationship where one audio signal or parameter is used to vary or control another audio signal’s characteristics (such as amplitude, frequency, or timbre) over time.
  • E. technologicalFeature chosen
    Indicates that one entity possesses, exhibits, or is characterized by a specific technological capability, component, or functionality in relation to 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_69a493b21f2881908132dcf45dcd2f36 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b3f7a7608190b8a8dd2486654bec completed March 1, 2026, 9:47 p.m.
PD Predicate disambiguation batch_69a4b2a18ecc8190883f6206fe3b0fb6 completed March 1, 2026, 9:41 p.m.
Created at: March 1, 2026, 7:40 p.m.