Triple

T22445618
Position Surface form Disambiguated ID Type / Status
Subject Fuchsia E554855 entity
Predicate audioStack P148228 FINISHED
Object AudioCore NE NERFINISHED

How this triple was built (4 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: AudioCore | Statement: [Fuchsia, audioStack, AudioCore]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AudioCore
Context triple: [Fuchsia, audioStack, AudioCore]
  • A. Core Sound
    Core Sound is a shallow coastal lagoon and estuary along the central North Carolina coast, lying behind the Outer Banks barrier islands.
  • B. OpenSL ES
    OpenSL ES is a cross-platform, hardware-accelerated audio API designed for embedded and mobile devices, commonly used to provide low-latency sound and music playback.
  • C. XAudio
    XAudio is a low-level audio API developed by Microsoft for high-performance sound processing and playback in Xbox and Windows games.
  • D. Qualcomm Snapdragon Sound ecosystem
    The Qualcomm Snapdragon Sound ecosystem is a suite of audio technologies and certifications designed to deliver high-resolution, low-latency, and reliable wireless sound experiences across compatible devices.
  • E. AudioNet
    AudioNet was an early internet radio and streaming media company that helped pioneer online audio broadcasting in the mid-1990s.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: AudioCore
Target entity description: AudioCore is Fuchsia’s central audio subsystem responsible for managing audio routing, mixing, and processing across the operating system.
  • A. Core Sound
    Core Sound is a shallow coastal lagoon and estuary along the central North Carolina coast, lying behind the Outer Banks barrier islands.
  • B. OpenSL ES
    OpenSL ES is a cross-platform, hardware-accelerated audio API designed for embedded and mobile devices, commonly used to provide low-latency sound and music playback.
  • C. XAudio
    XAudio is a low-level audio API developed by Microsoft for high-performance sound processing and playback in Xbox and Windows games.
  • D. Qualcomm Snapdragon Sound ecosystem
    The Qualcomm Snapdragon Sound ecosystem is a suite of audio technologies and certifications designed to deliver high-resolution, low-latency, and reliable wireless sound experiences across compatible devices.
  • E. AudioNet
    AudioNet was an early internet radio and streaming media company that helped pioneer online audio broadcasting in the mid-1990s.
  • F. None of above. chosen
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: audioStack
Context triple: [Fuchsia, audioStack, AudioCore]
  • A. audioChip
    Indicates that one entity functions as, or contains, an audio processing chip in relation to another entity.
  • B. soundHardware
    Indicates that an entity is associated with, uses, or provides sound-related hardware components or capabilities.
  • C. audioStandard
    Indicates the audio format or specification standard that applies to the associated media or device.
  • D. audioStreaming
    Indicates that one entity is transmitting audio data in real time for another entity to receive or play back.
  • E. audioMemory
    Indicates that one entity stores, retains, or is associated with audio information or sound-based memories related to 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_69e11e5113208190ab58c6b595f9d1d0 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15b46e8ac8190bfa8c611ffcba822 completed April 29, 2026, 1:13 a.m.
PD Predicate disambiguation batch_69e898ad961c819098fd1e46129bddcc completed April 22, 2026, 9:45 a.m.
PDg Predicate description generation batch_69e8aa39e3388190b659d59948ebf3e6 completed April 22, 2026, 11 a.m.
Created at: April 16, 2026, 8:47 p.m.