Triple

T1543423
Position Surface form Disambiguated ID Type / Status
Subject Wanna Get Away E32921 entity
Predicate comparedWith P278 FINISHED
Object Business Select E32922 NE 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: Business Select | Statement: [Wanna Get Away, comparedWith, Business Select]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Business Select
Context triple: [Wanna Get Away, comparedWith, Business Select]
  • A. Business Select chosen
    Business Select is Southwest Airlines’ highest fare class, offering priority boarding, extra Rapid Rewards points, and additional perks for business and premium travelers.
  • B. Commercial Solutions
    Commercial Solutions is a Newell Brands business segment that provides professional-grade products and services for commercial, industrial, and institutional customers.
  • C. Biz
    Biz is the nickname of Biz Stone, the American entrepreneur best known as a co-founder of Twitter.
  • D. Business Bay
    Business Bay is a major mixed-use commercial and residential district in Dubai known for its high-rise offices, hotels, and proximity to Downtown Dubai.
  • E. Enterprise
    Enterprise is a small city in southeastern Alabama known for its agricultural heritage and the Boll Weevil Monument symbolizing the region’s shift from cotton to peanut farming.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69a9084140f0819098c81d295d08d480 completed March 5, 2026, 4:36 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad309baebc81908240a0370bad9935 completed March 8, 2026, 8:17 a.m.
Created at: March 4, 2026, 7:26 p.m.