Triple

T3746216
Position Surface form Disambiguated ID Type / Status
Subject Transit Access Pass E81216 entity
Predicate hasExpiration P47854 FINISHED
Object yes, card expires after several years of use 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: yes, card expires after several years of use | Statement: [Transit Access Pass, hasExpiration, yes, card expires after several years of use]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasExpiration
Context triple: [Transit Access Pass, hasExpiration, yes, card expires after several years of use]
  • A. canExpire chosen
    Indicates that the subject has the property or status of being able to end, lapse, or become invalid after a certain time or condition is met.
  • B. hasValidityPeriod
    Indicates that something is associated with a specific time span during which it is considered valid or in effect.
  • C. hasDeadline
    Indicates that an entity is associated with a specific due date or time by which it must be completed or fulfilled.
  • D. hasClockSince
    Indicates that an entity has possessed or maintained a clock continuously from a specified point in time onward.
  • E. hasExecutionDate
    Indicates that an entity is associated with a specific date on which an execution or carrying out of an action, order, or sentence is scheduled or took place.
  • 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_69ad8b19b7b08190a6188804e99c53e9 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcb680ddc819094205beb342699f9 completed March 8, 2026, 7:18 p.m.
PD Predicate disambiguation batch_69adc04adebc819088d7f36d0ac343a6 completed March 8, 2026, 6:30 p.m.
Created at: March 8, 2026, 3:35 p.m.