Triple

T17381923
Position Surface form Disambiguated ID Type / Status
Subject Flying Club miles E422588 entity
Predicate subjectToProgramRules P119836 FINISHED
Object yes 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 | Statement: [Flying Club miles, subjectToProgramRules, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: subjectToProgramRules
Context triple: [Flying Club miles, subjectToProgramRules, yes]
  • A. authorizedUnderProgram chosen
    Indicates that an entity’s action, status, or participation is permitted or governed according to the rules or provisions of a specific program.
  • B. regulatesUnderProgram
    Indicates that one entity exercises regulatory authority or control over another entity within the scope of a specific program or regulatory scheme.
  • C. underRule
    Indicates that one entity is governed, controlled, or subject to the authority, rules, or dominion of another entity.
  • D. eligibilityRulesSetBy
    Indicates that one party defines or establishes the criteria or rules determining another party’s eligibility for something.
  • E. regulatesProgram
    Indicates that one entity exercises control or governance over the operation, rules, or functioning of a program.
  • 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_69d889d6535c81908be333c01deaec4e completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a86d8cc81909281b22f5da87d70 completed April 19, 2026, 2:14 a.m.
PD Predicate disambiguation batch_69e3b02ac8688190a7182f1b2151d721 completed April 18, 2026, 4:24 p.m.
Created at: April 10, 2026, 5:45 a.m.