Triple

T9003369
Position Surface form Disambiguated ID Type / Status
Subject Contacts E215086 entity
Predicate includedWith P16605 FINISHED
Object visionOS E41899 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: visionOS | Statement: [Contacts, includedWith, visionOS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: visionOS
Context triple: [Contacts, includedWith, visionOS]
  • A. visionOS chosen
    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.
  • B. App Store for visionOS
    App Store for visionOS is Apple’s dedicated digital marketplace for discovering, purchasing, and downloading apps and games designed specifically for the visionOS mixed-reality platform.
  • C. iPadOS
    iPadOS is Apple’s tablet-focused operating system that builds on iOS with features and interfaces optimized for the iPad’s larger display and multitasking capabilities.
  • D. tvOS
    tvOS is Apple’s operating system designed specifically for its Apple TV digital media players, enabling apps, streaming, and interactive entertainment on the television.
  • E. Vision Pro
    Vision Pro is Apple’s high-end mixed reality headset that blends augmented and virtual reality experiences using advanced displays, sensors, and custom Apple silicon.
  • 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_69ca83a12d648190b1e4fe11e8a31890 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6957bd5481908ce74f32f8d197de completed April 1, 2026, 12:39 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfeb5b88d48190b684c43cc88d8438 completed April 3, 2026, 4:31 p.m.
Created at: March 30, 2026, 7:05 p.m.