Triple

T712653
Position Surface form Disambiguated ID Type / Status
Subject Google Keep E14243 entity
Predicate operatingSystem P1593 FINISHED
Object iOS E8266 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: iOS | Statement: [Google Keep, operatingSystem, iOS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: iOS
Context triple: [Google Keep, operatingSystem, iOS]
  • A. iOS chosen
    iOS is Apple’s mobile operating system that powers iPhones and iPads, known for its integrated ecosystem, security features, and curated App Store.
  • B. iPhone
    The iPhone is Apple's flagship smartphone line that revolutionized mobile technology by combining a touchscreen interface, internet connectivity, and a robust app ecosystem into a single device.
  • 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. iPad
    The iPad is Apple's line of touchscreen tablet computers that popularized modern tablet computing with its sleek design, intuitive interface, and integration into the broader Apple ecosystem.
  • 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_69a4934a36e081909e7abef98b898a4e completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a55dd5908190bfb8816f65ea02e1 completed March 1, 2026, 8:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69a63757e5848190b7c11820f67b20a7 completed March 3, 2026, 1:20 a.m.
Created at: March 1, 2026, 7:36 p.m.