Triple

T5016964
Position Surface form Disambiguated ID Type / Status
Subject Health app E112758 entity
Predicate syncsVia P25993 FINISHED
Object iCloud E20628 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: iCloud | Statement: [Health app, syncsVia, iCloud]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: iCloud
Context triple: [Health app, syncsVia, iCloud]
  • A. iCloud chosen
    iCloud is Apple’s cloud storage and synchronization service that securely backs up and keeps users’ photos, files, and data up to date across their Apple devices.
  • B. iCloud Music Library
    iCloud Music Library is Apple’s cloud-based music storage and syncing service that lets users access their personal and Apple Music libraries across all their Apple devices.
  • C. iCloud Keychain
    iCloud Keychain is Apple’s built-in password and secure information manager that syncs and autofills credentials, Wi‑Fi logins, and payment details across a user’s Apple devices.
  • D. Dropbox
    Dropbox is a cloud-based file storage and collaboration company known for enabling users to easily sync and share files across devices.
  • E. Dropbox
    Dropbox is an American hard rock band known for their melodic yet heavy sound and for their connections to the post-grunge and alternative metal scenes of the early 2000s.
  • 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_69bd4434acb8819086679dbeccc2fe54 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd734037a88190a950db814412a023 completed March 20, 2026, 4:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69beba5b5f84819086b7af26923f0987 completed March 21, 2026, 3:33 p.m.
Created at: March 20, 2026, 1:35 p.m.