Triple

T2069941
Position Surface form Disambiguated ID Type / Status
Subject Copa Airlines E45992 entity
Predicate hasSubsidiary P254 FINISHED
Object Wingo E52199 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: Wingo | Statement: [Copa Airlines, hasSubsidiary, Wingo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wingo
Context triple: [Copa Airlines, hasSubsidiary, Wingo]
  • A. Wingo chosen
    Wingo is a Colombian low-cost airline operating domestic and international flights across Latin America and the Caribbean.
  • B. Wing
    Wing is an experimental mobile operating system and user interface project developed by X (formerly Google X) to explore new paradigms in smartphone interaction and design.
  • C. Wing
    Wing is an Alphabet Inc. subsidiary focused on developing and operating drone-based delivery services and related logistics technologies.
  • D. Flynt
    Flynt is the middle name of William Flynt Nichols, an American politician who served as a U.S. Representative from Alabama.
  • E. Hudson Fysh
    Hudson Fysh was an Australian aviator and businessman best known as a co-founder and long-serving leader of Qantas, helping to establish it as a major international airline.
  • 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_69a8891b38288190abd572ccad9b6928 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abb9f677108190aea3c8db7850c892 completed March 7, 2026, 5:39 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae27289eb081909bfbc9bf2cd14878 completed March 9, 2026, 1:49 a.m.
Created at: March 4, 2026, 7:41 p.m.