Triple

T3666030
Position Surface form Disambiguated ID Type / Status
Subject Bixby E77760 entity
Predicate operatingSystem P1593 FINISHED
Object Tizen E182258 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: Tizen | Statement: [Bixby, operatingSystem, Tizen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tizen
Context triple: [Bixby, operatingSystem, Tizen]
  • A. Tizen chosen
    Tizen is a Linux-based open-source operating system primarily used in smart TVs, wearables, and other embedded and IoT devices.
  • B. HarmonyOS operating system
    HarmonyOS operating system is Huawei’s distributed, multi-device operating system designed to run seamlessly across smartphones, wearables, smart TVs, and IoT devices.
  • C. One UI
    One UI is Samsung's custom Android-based user interface designed to provide a clean, intuitive experience across its smartphones and tablets.
  • D. Orbis OS
    Orbis OS is Sony's customized operating system for the PlayStation 4, built on a modified version of FreeBSD to power the console's gaming and multimedia features.
  • E. Nokia Asha Platform
    Nokia Asha Platform was a mobile operating system and software platform developed by Nokia for its low-end touchscreen feature phones, aiming to provide smartphone-like experiences on affordable devices.
  • 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_69ad85dfc4dc8190a441864202ab2a7a completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc40188988190b1b7ac9c8240a5ff completed March 8, 2026, 6:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4884bd50c8190a334e9aadc734364 completed March 13, 2026, 9:57 p.m.
Created at: March 8, 2026, 3:25 p.m.