Triple

T17537476
Position Surface form Disambiguated ID Type / Status
Subject Made by Google 2022 event E427097 entity
Predicate relatedTo P37 FINISHED
Object Wear OS NE NERFINISHED

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: [Made by Google 2022 event, relatedTo, Wear OS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wear OS
Context triple: [Made by Google 2022 event, relatedTo, 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. Samsung Wearable app
    The Samsung Wearable app is a companion application that lets users connect, manage, and customize Samsung wearable devices such as earbuds, smartwatches, and fitness trackers from their smartphones.
  • C. Moto 360
    Moto 360 is a line of Android Wear-based smartwatches known for their round displays and minimalist design.
  • D. 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.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889de677081909b22d2657b1f0292 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e4536dbe908190ba7559f9561f05a2 completed April 19, 2026, 4 a.m.
Created at: April 10, 2026, 5:49 a.m.