Triple

T7033371
Position Surface form Disambiguated ID Type / Status
Subject FLAC E163320 entity
Predicate competesWith P1375 FINISHED
Object WavPack
WavPack is a free, open-source audio compression format known for offering both lossless and hybrid (lossy+correction) encoding modes.
 E637123 NE FINISHED

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: WavPack | Statement: [FLAC, competesWith, WavPack]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: WavPack
Context triple: [FLAC, competesWith, WavPack]
  • A. Vorbis
    Vorbis is a fanatical and manipulative high priest and inquisitor who serves as the primary antagonist in Terry Pratchett’s Discworld novel "Small Gods."
  • B. WAV
    WAV is the vehicle registration code used to identify motor vehicles registered in the municipality of Wavre in Belgium.
  • C. FLAC
    FLAC (Free Lossless Audio Codec) is an open-source audio compression format that reduces file size without any loss in sound quality, commonly used for high-fidelity music archiving and playback.
  • D. Speex
    Speex is an open-source, patent-free audio compression codec designed primarily for efficient, high-quality speech encoding.
  • E. Cinepak
    Cinepak is an early video compression codec widely used in the 1990s for CD-ROM and multimedia applications due to its ability to play smoothly on low-powered hardware.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: WavPack
Triple: [FLAC, competesWith, WavPack]
Generated description
WavPack is a free, open-source audio compression format known for offering both lossless and hybrid (lossy+correction) encoding modes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: WavPack
Target entity description: WavPack is a free, open-source audio compression format known for offering both lossless and hybrid (lossy+correction) encoding modes.
  • A. Vorbis
    Vorbis is a fanatical and manipulative high priest and inquisitor who serves as the primary antagonist in Terry Pratchett’s Discworld novel "Small Gods."
  • B. WAV
    WAV is the vehicle registration code used to identify motor vehicles registered in the municipality of Wavre in Belgium.
  • C. FLAC
    FLAC (Free Lossless Audio Codec) is an open-source audio compression format that reduces file size without any loss in sound quality, commonly used for high-fidelity music archiving and playback.
  • D. Speex
    Speex is an open-source, patent-free audio compression codec designed primarily for efficient, high-quality speech encoding.
  • E. Cinepak
    Cinepak is an early video compression codec widely used in the 1990s for CD-ROM and multimedia applications due to its ability to play smoothly on low-powered hardware.
  • F. None of above. chosen

Provenance (5 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_69c6885d691c81908cf7d31083113886 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6e2118fc88190a0751ca18eafb4a5 completed March 27, 2026, 8:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7759c8e408190a7d457e77a44ee26 completed March 28, 2026, 6:30 a.m.
NEDg Description generation batch_69c779acac2881909917e12072f66637 completed March 28, 2026, 6:48 a.m.
NED2 Entity disambiguation (via description) batch_69c77a0390248190ba535e7d931a4682 completed March 28, 2026, 6:49 a.m.
Created at: March 27, 2026, 2:36 p.m.