Triple

T712763
Position Surface form Disambiguated ID Type / Status
Subject Mobvoi E14245 entity
Predicate usesTechnology P1485 FINISHED
Object Android Wear 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: Android Wear | Statement: [Mobvoi, usesTechnology, Android Wear]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Android Wear
Context triple: [Mobvoi, usesTechnology, Android Wear]
  • 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. 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.
  • 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. Apple Watch
    The Apple Watch is a smartwatch line that integrates closely with the iPhone to provide fitness tracking, health monitoring, notifications, and app functionality on the wrist.
  • 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_69a4934a36e081909e7abef98b898a4e completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a55ee4fc81909358659ec3bc435f completed March 1, 2026, 8:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69a5dcb5578c8190b5380f1994fdb4d2 completed March 2, 2026, 6:53 p.m.
Created at: March 1, 2026, 7:36 p.m.