Triple

T3477023
Position Surface form Disambiguated ID Type / Status
Subject Surf E73398 entity
Predicate distributedBy P1951 FINISHED
Object iTunes Store E7930 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: iTunes Store | Statement: [Surf, distributedBy, iTunes Store]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: iTunes Store
Context triple: [Surf, distributedBy, iTunes Store]
  • A. iTunes Store chosen
    The iTunes Store is Apple’s pioneering digital media marketplace that popularized legal online purchases of music, movies, TV shows, and other content.
  • B. 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.
  • C. 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.
  • D. Apple Music
    Apple Music is a music and audio streaming platform offering on-demand songs, curated playlists, radio, and exclusive content across Apple and other devices.
  • E. 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.
  • 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_69ad85b3c9b08190857cae74c7f36da9 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adbb5a5cb88190be5624ae224e4c91 completed March 8, 2026, 6:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3681822488190a9876a21236f9aa3 completed March 13, 2026, 1:27 a.m.
Created at: March 8, 2026, 3:17 p.m.