Triple

T9249916
Position Surface form Disambiguated ID Type / Status
Subject macOS Catalina E222295 entity
Predicate introducedFeature P513 FINISHED
Object Find My app 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 app | Statement: [macOS Catalina, introducedFeature, Find My app]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Find My app
Context triple: [macOS Catalina, introducedFeature, Find My app]
  • 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 My iPhone
    Find My iPhone is an Apple service that lets users locate, lock, or erase their lost or stolen iOS devices remotely.
  • D. Findon
    Findon is a village in West Sussex, England, situated near the South Downs and known for its rural character and historic charm.
  • E. Grab app
    Grab app is a Southeast Asian super-app that offers ride-hailing, food delivery, digital payments, and various on-demand services through a single mobile platform.
  • 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_69ca841d2b18819089f9faf5b2c2aec0 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd05f7e9848190939f9199d0c1a572 completed April 1, 2026, 11:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69d077fed7888190a5d36bc2ee4c2bd2 completed April 4, 2026, 2:31 a.m.
Created at: March 30, 2026, 7:31 p.m.