Triple

T11351800
Position Surface form Disambiguated ID Type / Status
Subject Apple M2 iPad Air (5th generation) E268854 entity
Predicate hasBiometricAuthentication P17643 FINISHED
Object Touch ID E41454 NE FINISHED

How this triple was built (3 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: [Apple M2 iPad Air (5th generation), hasBiometricAuthentication, Touch ID]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Touch ID
Context triple: [Apple M2 iPad Air (5th generation), hasBiometricAuthentication, 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. Thumbprint
    "Thumbprint" is a horror novella by Joe Hill that follows a traumatized Iraq War veteran who becomes the target of a menacing and mysterious stalker.
  • D. Taptic Engine on Apple Watch
    The Taptic Engine on Apple Watch is Apple’s custom haptic feedback system that produces precise, subtle taps on the wrist to convey notifications and interactions in a more tactile and personal way.
  • E. Fingerprint Releasing
    Fingerprint Releasing is an independent film distribution company co-founded by director Steven Soderbergh to handle the release of select feature films.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasBiometricAuthentication
Context triple: [Apple M2 iPad Air (5th generation), hasBiometricAuthentication, Touch ID]
  • A. hasFingerprintSensor chosen
    Indicates that an entity is equipped with or includes a fingerprint recognition sensor.
  • B. includesBiometrics
    Indicates that one entity contains, uses, or is associated with biometric data or biometric identifiers of another entity.
  • C. hasFaceUnlock
    Indicates that an entity supports or is equipped with a facial recognition–based unlocking feature.
  • D. hasSecurityTerminal
    Indicates that an entity is equipped with or contains a security terminal used for access control, monitoring, or security-related operations.
  • E. hasNFC
    Indicates that one entity possesses or supports Near Field Communication (NFC) capability in relation to another entity or context.
  • F. None of above.

Provenance (4 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_69d80148e2048190a716b515d78efdd1 completed April 9, 2026, 7:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5439a7ee481908d244f79041b3af6 completed April 19, 2026, 9:05 p.m.
PD Predicate disambiguation batch_69d7e6f8aeb4819080476f16a69b2ee3 completed April 9, 2026, 5:50 p.m.
Created at: April 8, 2026, 9:33 p.m.