Triple

T9740470
Position Surface form Disambiguated ID Type / Status
Subject Apple FairPlay E236172 entity
Predicate platform P1292 FINISHED
Object Apple Books E122389 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 Books | Statement: [Apple FairPlay, platform, Apple Books]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Apple Books
Context triple: [Apple FairPlay, platform, Apple Books]
  • A. Apple Books chosen
    Apple Books is Apple’s e-book and audiobook platform and reading app, available across its devices for purchasing, organizing, and enjoying digital books and audio content.
  • B. Apple Publishing
    Apple Publishing is the music publishing arm associated with The Beatles’ Apple Records, handling rights and licensing for the label’s compositions.
  • C. Google Play Books
    Google Play Books is a digital distribution service and e-book/audiobook reader platform from Google that lets users purchase, download, and read or listen to books across devices.
  • D. Kobo eBookstore
    Kobo eBookstore is an online digital bookstore offering a wide catalog of e-books and audiobooks for purchase and download, primarily for use with Kobo e-readers and apps.
  • E. App Store
    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.
  • 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_69ca84d313e88190983ee6ffd0ef60d2 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9f29a5bc8190b2b391017405c71e completed April 1, 2026, 10:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1afe974608190874e2aba2189de80 completed April 5, 2026, 12:42 a.m.
Created at: March 30, 2026, 8:22 p.m.