Triple

T11352141
Position Surface form Disambiguated ID Type / Status
Subject Safety Check in iOS 16 E268861 entity
Predicate relatedFeature P37 FINISHED
Object Find My E241679 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 | Statement: [Safety Check in iOS 16, relatedFeature, Find My]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Find My
Context triple: [Safety Check in iOS 16, relatedFeature, Find My]
  • A. Find My chosen
    Find My is Apple's device and item tracking service that lets users locate lost or stolen Apple products and compatible accessories across their devices.
  • B. Find My Mobile or SmartThings Find
    Find My Mobile or SmartThings Find is Samsung’s device-locating service that lets users remotely find, lock, or erase their Galaxy devices and accessories.
  • C. Find Me
    "Find Me" is a track by the American rock band Walls, known for its emotive lyrics and atmospheric sound.
  • D. Find My iPhone
    Find My iPhone is an Apple service that lets users locate, lock, or erase their lost or stolen iOS devices remotely.
  • E. Findon
    Findon is a village in West Sussex, England, situated near the South Downs and known for its rural character and historic charm.
  • 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_69d6aacbe18081909e5fadb50082dd96 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7ea24489081908fbf47fd2e6d709c completed April 9, 2026, 6:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69e543a6e97481909dc77a553b217b4d completed April 19, 2026, 9:05 p.m.
Created at: April 8, 2026, 9:33 p.m.