Triple

T6489485
Position Surface form Disambiguated ID Type / Status
Subject Republic Airways E147997 entity
Predicate brandVisibility P71025 FINISHED
Object primarily under partner airline brands 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: primarily under partner airline brands | Statement: [Republic Airways, brandVisibility, primarily under partner airline brands]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: brandVisibility
Context triple: [Republic Airways, brandVisibility, primarily under partner airline brands]
  • A. hasBrandRecognitionFor
    Indicates that one entity is aware of, recognizes, or can identify the brand of another entity.
  • B. brand
    Indicates that one entity is the commercial brand or label under which another entity (such as a product, service, or organization) is marketed or identified.
  • C. brandFocus
    Indicates that a brand primarily concentrates its efforts, messaging, or resources on a particular target, theme, or market segment.
  • D. brandPositioning
    Indicates how a brand is strategically placed and perceived in the minds of its target audience relative to competitors.
  • E. brandIntegration
    Indicates the incorporation of a brand’s identity, products, or messaging into another medium, experience, or content in a coordinated and often seamless way.
  • F. None of above. chosen

Provenance (4 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_69c009088f3081909cd467b05919de30 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c06a9926fc81909db0f390e385e97d completed March 22, 2026, 10:18 p.m.
PD Predicate disambiguation batch_69c06740bebc81909d9d6956baa2bcb9 completed March 22, 2026, 10:03 p.m.
PDg Predicate description generation batch_69c067f1ef148190bc0355abe83f7e16 completed March 22, 2026, 10:06 p.m.
Created at: March 22, 2026, 4:52 p.m.