Triple

T10266640
Position Surface form Disambiguated ID Type / Status
Subject Lost Mode E240726 entity
Predicate relatedTo P37 FINISHED
Object Find My network 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 network | Statement: [Lost Mode, relatedTo, Find My network]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Find My network
Context triple: [Lost Mode, relatedTo, Find My network]
  • 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. RTC network
    The RTC network is the public transportation system serving Quebec City, operating buses and related transit services across the metropolitan area.
  • 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_69d381a94c1881908fc38fc263d9b9c2 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d26d4dd88190bdd324bafa1e8e00 completed April 7, 2026, 9:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69d6f805d49c8190becddbbf17ac65fd completed April 9, 2026, 12:51 a.m.
Created at: April 6, 2026, 11:34 a.m.