Triple

T14453471
Position Surface form Disambiguated ID Type / Status
Subject Daydream VR platform E358393 entity
Predicate hardwarePartner P12755 FINISHED
Object Xiaomi E321474 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: Xiaomi | Statement: [Daydream VR platform, hardwarePartner, Xiaomi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Xiaomi
Context triple: [Daydream VR platform, hardwarePartner, Xiaomi]
  • A. Xiaomi chosen
    Xiaomi is a major Chinese electronics and smartphone manufacturer known for its affordable, feature-rich devices and rapidly growing global presence.
  • B. Vivo
    Vivo is an animated musical film produced by Sony Pictures Animation that follows a music-loving kinkajou on a heartfelt adventure to deliver a song.
  • C. Vivo
    Vivo is a Chinese smartphone manufacturer that has served as a major title sponsor of the Indian Premier League (IPL), boosting its brand visibility across India.
  • D. Huawei
    Huawei is a major Chinese multinational technology company best known globally for its telecommunications equipment, smartphones, and role in 5G network infrastructure.
  • E. HTC
    HTC is a Taiwanese consumer electronics company best known for manufacturing smartphones and other mobile devices, including early Android and Windows-based phones.
  • 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_69d82794dfa081909b9134ad2e32244b completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de91a8bf088190abf5fd4f646b8c62 completed April 14, 2026, 7:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd94a4bb308190a39ba037debee16e completed May 8, 2026, 7:45 a.m.
Created at: April 10, 2026, 1:19 a.m.