Triple

T5264291
Position Surface form Disambiguated ID Type / Status
Subject AirPods Max E118901 entity
Predicate supportsPlatform P203 FINISHED
Object watchOS E20923 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: watchOS | Statement: [AirPods Max, supportsPlatform, watchOS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: watchOS
Context triple: [AirPods Max, supportsPlatform, watchOS]
  • A. watchOS chosen
    watchOS is Apple’s smartwatch operating system that powers the Apple Watch, providing fitness tracking, notifications, and app functionality tightly integrated with iOS and the Apple ecosystem.
  • B. WatchKit
    WatchKit is Apple’s framework that enables developers to build and manage user interfaces and interactions for apps running on Apple Watch.
  • C. 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.
  • D. Wear OS
    Wear OS is Google’s smartwatch operating system designed to bring Android apps, notifications, and Google services to wearable devices.
  • E. visionOS
    visionOS is Apple’s mixed-reality operating system designed for spatial computing on Apple Vision Pro, integrating 3D interfaces, gesture and eye tracking, and immersive app experiences.
  • 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_69bd446a42c88190b7ecbef006561d55 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7bd4a9888190a79ef8e64c764f86 completed March 20, 2026, 4:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf06c71d308190a42a2da51b4cf93e completed March 21, 2026, 8:59 p.m.
Created at: March 20, 2026, 1:51 p.m.