Triple

T974426
Position Surface form Disambiguated ID Type / Status
Subject YES App E21017 entity
Predicate distributionChannel P1486 FINISHED
Object Apple App Store E20626 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 App Store | Statement: [YES App, distributionChannel, Apple App Store]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Apple App Store
Context triple: [YES App, distributionChannel, Apple App Store]
  • A. App Store chosen
    The App Store is Apple’s official digital marketplace for discovering, purchasing, and downloading apps and games on iOS, iPadOS, macOS, watchOS, and tvOS devices.
  • B. Apple Store
    Apple Store is Apple Inc.’s official retail and online chain that sells its hardware devices, software, and services while providing product support and technical assistance.
  • C. iTunes Store
    The iTunes Store is Apple’s pioneering digital media marketplace that popularized legal online purchases of music, movies, TV shows, and other content.
  • D. Amazon Appstore
    Amazon Appstore is a digital distribution platform for mobile apps and games, primarily for Android devices and Amazon’s Fire tablets.
  • E. iTunes
    iTunes is Apple’s media management and playback software that also served as the primary hub for purchasing and organizing digital music, movies, and other content.
  • 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_69a493c2b62c8190b616351789ec47f8 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b460a5c0819087b03dfb8a3af2c2 completed March 1, 2026, 9:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac2586fd7c8190ba77b327bad4bb69 completed March 7, 2026, 1:17 p.m.
Created at: March 1, 2026, 7:40 p.m.