Triple

T3421264
Position Surface form Disambiguated ID Type / Status
Subject Google Messages E72119 entity
Predicate operatingSystem P1593 FINISHED
Object Wear OS E2486 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: Wear OS | Statement: [Google Messages, operatingSystem, Wear OS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wear OS
Context triple: [Google Messages, operatingSystem, Wear OS]
  • A. Wear OS chosen
    Wear OS is Google’s smartwatch operating system designed to bring Android apps, notifications, and Google services to wearable devices.
  • B. Moto 360
    Moto 360 is a line of Android Wear-based smartwatches known for their round displays and minimalist design.
  • C. Mobvoi TicWatch Pro
    The Mobvoi TicWatch Pro is a Wear OS-powered smartwatch known for its dual-layer display that extends battery life while offering full smartwatch functionality.
  • D. Qualcomm Snapdragon Wear
    Qualcomm Snapdragon Wear is a family of low-power system-on-chip platforms designed by Qualcomm specifically for wearable devices such as smartwatches and fitness trackers.
  • E. Android 12L
    Android 12L is a specialized version of Android 12 optimized for large-screen devices like tablets and foldables, featuring enhanced multitasking and improved interface layouts.
  • 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_69ad85ad38e48190b7660c5118a35289 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb950f65481908c4aad15516e7a7c completed March 8, 2026, 6 p.m.
NED1 Entity disambiguation (via context triple) batch_69b367f369248190b411098b5654b8ad completed March 13, 2026, 1:27 a.m.
Created at: March 8, 2026, 3:15 p.m.