Triple

T7312671
Position Surface form Disambiguated ID Type / Status
Subject Korean Air SKYPASS Million Miler E168131 entity
Predicate loyaltyDimension P76252 FINISHED
Object long-term customer loyalty 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: long-term customer loyalty | Statement: [Korean Air SKYPASS Million Miler, loyaltyDimension, long-term customer loyalty]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: loyaltyDimension
Context triple: [Korean Air SKYPASS Million Miler, loyaltyDimension, long-term customer loyalty]
  • A. loyaltyDomain
    Indicates a relationship where loyalty, allegiance, or steadfast support is directed toward or governed by a particular domain, context, or sphere of influence.
  • B. loyaltySymbolizedBy
    Indicates that an instance of loyalty is represented or expressed by a particular symbol or emblem.
  • C. loyaltyIncentive
    Indicates a relationship where benefits or rewards are provided to encourage or recognize continued commitment or repeat engagement.
  • D. loyaltyMechanism
    Indicates a mechanism or process through which loyalty is established, maintained, or reinforced between entities.
  • E. loyaltyIntegration
    Indicates the degree to which a loyalty or rewards program is connected, synchronized, or functionally embedded with another system, platform, or service.
  • F. None of above. chosen

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_69c6888d8e3c81909db79714903baf31 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6ec02319c819096d25e3683943886 completed March 27, 2026, 8:43 p.m.
PD Predicate disambiguation batch_69c6e7705f4881909793071dee50c557 completed March 27, 2026, 8:24 p.m.
PDg Predicate description generation batch_69c6eb88a2648190acc79eeee8733705 completed March 27, 2026, 8:41 p.m.
Created at: March 27, 2026, 3:02 p.m.