Triple

T16110101
Position Surface form Disambiguated ID Type / Status
Subject Samsung Galaxy Watch3 E390849 entity
Predicate operatingSystem P1593 FINISHED
Object Tizen OS 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 OS | Statement: [Samsung Galaxy Watch3, operatingSystem, Tizen OS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tizen OS
Context triple: [Samsung Galaxy Watch3, operatingSystem, Tizen OS]
  • 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. KaiOS
    KaiOS is a lightweight mobile operating system designed for feature phones, bringing smartphone-like apps and internet capabilities to devices with limited hardware.
  • C. Tizen Association
    The Tizen Association is an industry consortium responsible for overseeing the development and promotion of the Tizen open-source operating system platform.
  • D. Tizen Studio
    Tizen Studio is an integrated development environment (IDE) used to create, test, and debug applications for the Tizen operating system across devices like smartwatches, TVs, and IoT products.
  • E. Tizen Store
    Tizen Store is a digital app marketplace where users of Samsung’s Tizen-based devices can discover, purchase, and download applications and content.
  • 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_69d87f1a8dd881909f1de6ef78849874 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e2016665c0819081aa7a44b1d08183 completed April 17, 2026, 9:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffeba674788190a589104cf90f28d5 completed May 10, 2026, 2:21 a.m.
Created at: April 10, 2026, 5 a.m.