Triple

T577267
Position Surface form Disambiguated ID Type / Status
Subject Fossil Gen 6 E13782 entity
Predicate operatingSystem P1593 FINISHED
Object Google 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: Google Wear OS | Statement: [Fossil Gen 6, operatingSystem, Google Wear OS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Google Wear OS
Context triple: [Fossil Gen 6, operatingSystem, Google 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. Google Pixel
    Google Pixel is a line of smartphones and related consumer devices developed by Google, known for its clean Android experience, advanced camera software, and deep integration with Google’s AI-powered services.
  • 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_69a4933fa4d88190a7949cc83c08c5c1 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49b68cc808190b1ba45bdad78443d completed March 1, 2026, 8:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69a563c236108190a8784b6561ca8bca completed March 2, 2026, 10:17 a.m.
Created at: March 1, 2026, 7:33 p.m.