Triple

T2166069
Position Surface form Disambiguated ID Type / Status
Subject Find My iPhone E46910 entity
Predicate accessedVia P1985 FINISHED
Object Find My iPhone app E46910 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: Find My iPhone app | Statement: [Find My iPhone, accessedVia, Find My iPhone app]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Find My iPhone app
Context triple: [Find My iPhone, accessedVia, Find My iPhone app]
  • A. Find My iPhone chosen
    Find My iPhone is an Apple service that lets users locate, lock, or erase their lost or stolen iOS devices remotely.
  • B. iCloud
    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.
  • 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. FaceTime
    FaceTime is Apple’s proprietary video and audio calling service that enables real-time communication across its devices and platforms.
  • E. Apple Maps
    Apple Maps is Apple's proprietary mapping and navigation service that provides turn-by-turn directions, real-time traffic data, and location search across Apple 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_69a88a184cbc8190877791f6552c2484 completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abbeab223881908aaa2bc4f85329cc completed March 7, 2026, 5:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae58f044b8819092c58022383d3468 completed March 9, 2026, 5:21 a.m.
Created at: March 4, 2026, 7:45 p.m.