Triple

T13894738
Position Surface form Disambiguated ID Type / Status
Subject Speex E334057 entity
Predicate organization P629 FINISHED
Object Xiph.Org Foundation E637120 NE 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: Xiph.Org Foundation | Statement: [Speex, organization, Xiph.Org Foundation]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Xiph.Org Foundation
Context triple: [Speex, organization, Xiph.Org Foundation]
  • A. Xiph.Org Foundation chosen
    Xiph.Org Foundation is a non-profit organization that develops and maintains open, royalty-free multimedia formats and software, including the FLAC audio codec.
  • B. Vorbis
    Vorbis is an open, patent-free audio compression format known for providing high-quality sound at relatively low bitrates.
  • C. 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."
  • D. The Document Foundation
    The Document Foundation is a non-profit organization that oversees the development of the LibreOffice open-source office suite and promotes free, community-driven productivity software.
  • E. Zig Software Foundation
    The Zig Software Foundation is the organization responsible for stewarding the development, ecosystem, and community of the Zig programming language.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d81c5dd2d48190b7a5fc1e009de936 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de23a741908190bdf46d76c5f1411a completed April 14, 2026, 11:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69fba1c0b6848190b67051e0ccbdb707 completed May 6, 2026, 8:17 p.m.
Created at: April 9, 2026, 10:15 p.m.