Triple

T8820687
Position Surface form Disambiguated ID Type / Status
Subject RealityKit E209894 entity
Predicate partOf P40 FINISHED
Object Apple AR development stack E209894 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: Apple AR development stack | Statement: [RealityKit, partOf, Apple AR development stack]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Apple AR development stack
Context triple: [RealityKit, partOf, Apple AR development stack]
  • A. ARKit framework
    ARKit framework is Apple’s augmented reality development platform that enables iOS apps to blend virtual content with the real world using device cameras and motion sensors.
  • B. RealityKit chosen
    RealityKit is Apple’s high-level 3D rendering and augmented reality framework used to build immersive spatial experiences on platforms like visionOS.
  • C. SceneKit
    SceneKit is a high-level 3D graphics framework from Apple used to build and render interactive 3D scenes and animations across its platforms.
  • D. 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.
  • E. Apple Developer Documentation
    Apple Developer Documentation is Apple’s official online resource providing comprehensive technical guides, API references, and sample code for building software across its platforms.
  • 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_69ca8364e13081909c85fe80f44fe86f completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc600fbbac8190ad36d93fff60a33f completed April 1, 2026, midnight
NED1 Entity disambiguation (via context triple) batch_69cf6fd064208190b1c8e1e1848763d2 completed April 3, 2026, 7:44 a.m.
Created at: March 30, 2026, 6:46 p.m.