Triple

T2156067
Position Surface form Disambiguated ID Type / Status
Subject MileagePlus E47889 entity
Predicate earnMethod P30192 FINISHED
Object flying on United Airlines 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: flying on United Airlines | Statement: [MileagePlus, earnMethod, flying on United Airlines]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: earnMethod
Context triple: [MileagePlus, earnMethod, flying on United Airlines]
  • A. earnOn chosen
    Indicates that one entity gains income, profit, or returns as a result of another entity or activity.
  • B. powerCollectionMethod
    Indicates the method or process by which power is collected, harvested, or obtained in a given context.
  • C. agingMethod
    Indicates the process or technique by which something (typically a product or material) is matured, aged, or allowed to develop its characteristics over time.
  • D. creditsCanBe
    Indicates that certain credits are permitted to be in a specified state, category, or usage condition.
  • E. disbursementOption
    Indicates the method or arrangement by which funds are paid out or distributed.
  • 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_69a88a1d1fd8819088b34990d69a712f completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abbe669c188190bb4c1c391ca848b0 completed March 7, 2026, 5:57 a.m.
PD Predicate disambiguation batch_69abbd9a60648190b20b116be5c7ad98 completed March 7, 2026, 5:54 a.m.
Created at: March 4, 2026, 7:44 p.m.