Triple

T1936529
Position Surface form Disambiguated ID Type / Status
Subject Touch ID E41454 entity
Predicate fallbackMethod P19868 FINISHED
Object passcode LITERAL 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: passcode | Statement: [Touch ID, fallbackMethod, passcode]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: fallbackMethod
Context triple: [Touch ID, fallbackMethod, passcode]
  • A. alternativeLaunchMethod
    Indicates that there exists a different or non-standard method by which the launch of something can be carried out.
  • B. possibleFunction
    Indicates that an entity may serve, or is capable of serving, a particular function or role, without asserting that it actually does so.
  • C. notImplementedBy
    Indicates that a specified functionality, specification, or feature is *not* realized or provided by the referenced entity (such as a system, component, or implementation).
  • D. propagationMethod
    Indicates the means or mechanism by which something spreads, reproduces, or is transmitted from one entity or location to another.
  • E. alternativeRoute chosen
    Indicates that there exists a different path or option that can be taken instead of the primary or original route.
  • F. None of above.

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_69a88649b24c819080047f26b6db2ded completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb2c5f6e481909b2d95861e2098f9 completed March 7, 2026, 5:08 a.m.
PD Predicate disambiguation batch_69abaff07cf88190b4883c5f17f90abd completed March 7, 2026, 4:56 a.m.
Created at: March 4, 2026, 7:35 p.m.