Triple

T14415044
Position Surface form Disambiguated ID Type / Status
Subject Nokia N91 E357427 entity
Predicate supports P516 FINISHED
Object OGG Vorbis E920743 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: OGG Vorbis | Statement: [Nokia N91, supports, OGG Vorbis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: OGG Vorbis
Context triple: [Nokia N91, supports, OGG Vorbis]
  • A. Vorbis chosen
    Vorbis is an open, patent-free audio compression format known for providing high-quality sound at relatively low bitrates.
  • B. 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."
  • C. Ogg
    Ogg is a free, open, and patent-unencumbered multimedia container format commonly used for streaming and storing audio and video data.
  • D. OGG
    OGG is the IATA airport code for Kahului Airport, the primary commercial airport serving the island of Maui in Hawaii.
  • E. WavPack
    WavPack is a free, open-source audio compression format known for offering both lossless and hybrid (lossy+correction) encoding modes.
  • 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_69d82793421c8190861eb0e673b085de completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de90cc99208190a2313b1acfb5d802 completed April 14, 2026, 7:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd552a75ec8190b966d509d315ca60 completed May 8, 2026, 3:14 a.m.
Created at: April 10, 2026, 1:17 a.m.