Triple

T367061
Position Surface form Disambiguated ID Type / Status
Subject Apple Pay E7983 entity
Predicate doesNotStore P4300 FINISHED
Object actual credit card numbers on device 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: actual credit card numbers on device | Statement: [Apple Pay, doesNotStore, actual credit card numbers on device]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: doesNotStore
Context triple: [Apple Pay, doesNotStore, actual credit card numbers on device]
  • A. doesNotUse
    Indicates that one entity intentionally refrains from employing, utilizing, or relying on another entity, method, or resource.
  • B. doesNot chosen
    Indicates that a specified entity lacks, refrains from, or fails to perform a particular action or exhibit a particular property in relation to another entity or context.
  • C. doesNotMeasure
    Indicates that an entity is not used to quantify, assess, or determine the value or extent of another entity or property.
  • D. doesNotAutomaticallyProvide
    Indicates that something is not supplied or made available by default and requires an explicit action or request to be provided.
  • E. doesNotSpecify
    Indicates that the subject intentionally leaves some information, detail, or attribute undefined or unspecified with respect to the object.
  • 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_69a2e7e880008190a6ad7e06e5d03007 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2ebe92c7c8190b49af2b2b461eacc completed Feb. 28, 2026, 1:21 p.m.
PD Predicate disambiguation batch_69a2e95ede588190998fdf3a6ea90498 completed Feb. 28, 2026, 1:10 p.m.
Created at: Feb. 28, 2026, 1:08 p.m.