Triple

T5824496
Position Surface form Disambiguated ID Type / Status
Subject HawaiianMiles E129188 entity
Predicate allowsMileagePooling P48404 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: [HawaiianMiles, allowsMileagePooling, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: allowsMileagePooling
Context triple: [HawaiianMiles, allowsMileagePooling, yes]
  • A. allowsFamilyPooling
    Indicates that one entity permits multiple related individuals to combine or share their resources, benefits, or access as a family unit.
  • B. mileageAccrual
    Indicates the accumulation or earning of mileage (such as distance-based points or credits) as a result of certain actions or usage.
  • C. supportsMobilityType
    Indicates that one entity provides compatibility with, or can function using, a specified type of mobility or movement mode.
  • D. appliedToVehicleType
    Indicates that something (such as a rule, restriction, or condition) is specifically applicable to a particular type or category of vehicle.
  • E. usesPooling chosen
    Indicates that one entity employs a pooling mechanism or strategy to aggregate or combine resources, data, or elements from multiple sources.
  • 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_69c00849d55481908b4f9f5543e0bf6d completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0400f1af881908d376ea4793f6dea completed March 22, 2026, 7:16 p.m.
PD Predicate disambiguation batch_69c0333fdd7081908d829265caa2ac11 completed March 22, 2026, 6:21 p.m.
Created at: March 22, 2026, 3:53 p.m.