Triple

T1008973
Position Surface form Disambiguated ID Type / Status
Subject iPadOS E21776 entity
Predicate supports P516 FINISHED
Object Touch ID E41454 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: Touch ID | Statement: [iPadOS, supports, Touch ID]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Touch ID
Context triple: [iPadOS, supports, Touch ID]
  • A. Touch ID chosen
    Touch ID is Apple's fingerprint recognition technology used on devices like the MacBook Pro for secure authentication and payments.
  • B. Face ID
    Face ID is Apple's facial recognition system that securely unlocks devices and authorizes actions like payments and app logins using a 3D scan of the user's face.
  • 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. Apple Watch
    The Apple Watch is a smartwatch line that integrates closely with the iPhone to provide fitness tracking, health monitoring, notifications, and app functionality on the wrist.
  • E. Apple Pay
    Apple Pay is a mobile payment and digital wallet service by Apple that lets users make secure, contactless payments using their 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_69a493c53e648190ae8cb76c433fd9a7 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b7a3cb608190a2de34a09cd55146 completed March 1, 2026, 10:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac3ba9406c81909a13375fea05ee99 completed March 7, 2026, 2:52 p.m.
Created at: March 1, 2026, 7:41 p.m.