Triple

T5768538
Position Surface form Disambiguated ID Type / Status
Subject Extensions gallery (Safari) E127270 entity
Predicate platform P1292 FINISHED
Object iPadOS E21776 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: iPadOS | Statement: [Extensions gallery (Safari), platform, iPadOS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: iPadOS
Context triple: [Extensions gallery (Safari), platform, iPadOS]
  • A. iPadOS chosen
    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.
  • B. 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.
  • C. iOS
    iOS is Apple’s mobile operating system that powers iPhones and iPads, known for its integrated ecosystem, security features, and curated App Store.
  • D. macOS
    macOS is Apple’s proprietary Unix-based operating system known for its graphical user interface, tight integration with Apple hardware and services, and strong emphasis on usability and security.
  • 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_69c00834f6308190851b0abeddd8ed7e completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c02974ae2c8190aee5ee61fc69ad79 completed March 22, 2026, 5:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69c07e61127c8190833e279403af6605 completed March 22, 2026, 11:42 p.m.
Created at: March 22, 2026, 3:49 p.m.