Triple

T1543408
Position Surface form Disambiguated ID Type / Status
Subject Wanna Get Away E32921 entity
Predicate earlyCheckInEligibility P24457 FINISHED
Object eligible to purchase EarlyBird Check-In 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: eligible to purchase EarlyBird Check-In | Statement: [Wanna Get Away, earlyCheckInEligibility, eligible to purchase EarlyBird Check-In]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: earlyCheckInEligibility
Context triple: [Wanna Get Away, earlyCheckInEligibility, eligible to purchase EarlyBird Check-In]
  • A. positionEligible
    Indicates that an entity is qualified or permitted to hold or be assigned to a particular position or role.
  • B. eligibilityContext chosen
    Indicates the situational or conditional factors under which an entity qualifies for or is considered eligible for something.
  • C. eligibilityLevel
    Indicates the degree or tier of qualification an entity has for a given benefit, service, or status.
  • D. eligibility
    Indicates that an entity meets the required conditions or qualifications to participate in, receive, or perform something.
  • E. eligibilityUnit
    Indicates that one entity serves as the unit or basis used to determine another entity’s eligibility for a benefit, status, or condition.
  • 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_69a885ed29088190a3c2d5a3d100c16e completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa95c1a2948190a2b98469afec1a7d completed March 6, 2026, 8:52 a.m.
PD Predicate disambiguation batch_69a907b2453c8190a41f6b88c8217d1e completed March 5, 2026, 4:33 a.m.
Created at: March 4, 2026, 7:26 p.m.