Triple

T7970231
Position Surface form Disambiguated ID Type / Status
Subject Play Disney Parks app E185303 entity
Predicate platform P1292 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: [Play Disney Parks app, platform, Apple App Store]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Apple App Store
Context triple: [Play Disney Parks app, platform, 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. App Store Connect
    App Store Connect is Apple’s web-based portal for developers to manage their apps, metadata, TestFlight builds, and App Store submissions and analytics.
  • 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_69ca8297699481909b75a405f01e03af completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3bd304dc8190b9feee5e17fc66db completed March 31, 2026, 3:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc9387aabc81909ca13ee6a51525f4 completed April 1, 2026, 3:39 a.m.
Created at: March 30, 2026, 5:13 p.m.