Triple

T122970
Position Surface form Disambiguated ID Type / Status
Subject Wear OS E2486 entity
Predicate notableDevice P1448 FINISHED
Object TAG Heuer Connected E13778 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: TAG Heuer Connected | Statement: [Wear OS, notableDevice, TAG Heuer Connected]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TAG Heuer Connected
Context triple: [Wear OS, notableDevice, TAG Heuer Connected]
  • A. TAG Heuer chosen
    TAG Heuer is a Swiss luxury watchmaker renowned for its high-end mechanical and connected timepieces that blend traditional craftsmanship with modern technology.
  • B. Samsung Galaxy Watch5
    The Samsung Galaxy Watch5 is a premium smartwatch that combines Samsung’s hardware and health-tracking features with Google’s Wear OS platform for apps and services.
  • C. Wear OS
    Wear OS is Google’s smartwatch operating system designed to bring Android apps, notifications, and Google services to wearable devices.
  • D. Fitbit
    Fitbit is a consumer electronics and fitness company best known for its wearable activity trackers and smartwatches that monitor health and exercise metrics.
  • 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 (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_69a2506c5428819085c28a8884790e29 completed Feb. 28, 2026, 2:18 a.m.
NER Named-entity recognition batch_69a25b816dbc8190b20e13c80a451e6b completed Feb. 28, 2026, 3:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69a2aa453a8c81908d6d4d14aff8522e completed Feb. 28, 2026, 8:41 a.m.
Created at: Feb. 28, 2026, 2:24 a.m.