Triple

T2257085
Position Surface form Disambiguated ID Type / Status
Subject Darwin E49751 entity
Predicate usedAsFoundationFor P7051 FINISHED
Object audioOS E114974 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: audioOS | Statement: [Darwin, usedAsFoundationFor, audioOS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: audioOS
Context triple: [Darwin, usedAsFoundationFor, audioOS]
  • A. audioOS chosen
    audioOS is Apple’s specialized operating system designed to power and manage the features of its HomePod smart speakers.
  • B. Sound Archive
    The Sound Archive is the British Library’s extensive audio collection, preserving millions of recordings spanning music, spoken word, oral history, and environmental sounds.
  • C. Versoix
    Versoix is a Swiss municipality on the shores of Lake Geneva, known as a residential suburb of Geneva with lakeside promenades and a mix of urban and natural landscapes.
  • D. Audion
    Audion is an early triode vacuum tube invented by Lee de Forest that enabled the amplification of electrical signals and was crucial to the development of radio and electronics.
  • E. Sounds
    Sounds was the short name of the Memphis Sounds, a former professional basketball team in the American Basketball Association (ABA) during the 1970s.
  • 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_69a88aaa9250819095e127d0d77e8a32 completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc5b262488190b6455d1d28d2306d completed March 7, 2026, 6:29 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae6b2229288190a7da9025dc394e67 completed March 9, 2026, 6:39 a.m.
Created at: March 4, 2026, 7:47 p.m.