Triple

T7312673
Position Surface form Disambiguated ID Type / Status
Subject Korean Air SKYPASS Million Miler E168131 entity
Predicate statusHierarchyRole P14125 FINISHED
Object highest SKYPASS lifetime tier 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: highest SKYPASS lifetime tier | Statement: [Korean Air SKYPASS Million Miler, statusHierarchyRole, highest SKYPASS lifetime tier]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: statusHierarchyRole
Context triple: [Korean Air SKYPASS Million Miler, statusHierarchyRole, highest SKYPASS lifetime tier]
  • A. legalHierarchyRank
    Indicates the relative position or level of authority an entity holds within a legal or judicial hierarchy.
  • B. designationLevel chosen
    Indicates the specific rank, tier, or level assigned to an entity within a designation or classification system.
  • C. rankWithinOrganization
    Indicates the relative hierarchical position or level an entity holds within a specific organization.
  • D. ordinationRole
    Indicates the specific religious or ceremonial office, function, or capacity in which an entity is formally ordained.
  • E. officeHierarchy
    Indicates a reporting or supervisory relationship between positions within an office, defining who is above or below whom in the organizational chain of command.
  • 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_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.
Created at: March 27, 2026, 3:02 p.m.