Triple

T30979748
Position Surface form Disambiguated ID Type / Status
Subject Corporate Airlines E789330 entity
Predicate operatedUnderMarketingBrand P27763 FINISHED
Object AmericanConnection NE NERFINISHED

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: AmericanConnection | Statement: [Corporate Airlines, operatedUnderMarketingBrand, AmericanConnection]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: operatedUnderMarketingBrand
Context triple: [Corporate Airlines, operatedUnderMarketingBrand, AmericanConnection]
  • A. operatedByBrand
    Indicates that an entity (such as a service, location, or product line) is run, managed, or controlled by a particular brand.
  • B. laterBrandOf
    Indicates that one brand is a subsequent or successor brand to another, coming into use at a later time.
  • C. operatedChannelBrand
    Indicates that a brand is responsible for operating or managing a particular channel.
  • D. hasUnderlyingCompanyBrand chosen
    Indicates that one entity is associated with or operates under the corporate brand of another company as its underlying brand.
  • E. introducedUnderBrand
    Indicates that one entity was launched, released, or brought to market using the branding or brand identity of another entity.
  • 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_69f224c4831c8190be53924ec25a150a completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69ff8aff48988190a48a440de8238ef9 completed May 9, 2026, 7:29 p.m.
PD Predicate disambiguation batch_69ff8a780404819082f48ceb21e7fe11 completed May 9, 2026, 7:26 p.m.
Created at: April 29, 2026, 8:55 p.m.