Triple

T2907554
Position Surface form Disambiguated ID Type / Status
Subject WestJet E63601 entity
Predicate acquiredBy P347 FINISHED
Object Onex Corporation E310422 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: Onex Corporation | Statement: [WestJet, acquiredBy, Onex Corporation]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Onex Corporation
Context triple: [WestJet, acquiredBy, Onex Corporation]
  • A. Onex Corporation chosen
    Onex Corporation is a Canadian investment management firm and private equity company known for acquiring and managing businesses across various industries.
  • B. Onex
    Onex is a suburban municipality in western Switzerland located just outside the city of Geneva.
  • C. Sierra Nevada Corporation
    Sierra Nevada Corporation is a U.S. aerospace and defense contractor known for developing advanced space systems, including the Dream Chaser spaceplane, and providing technology solutions to government and commercial customers.
  • D. Cubic Corporation
    Cubic Corporation is a technology-driven defense and transportation solutions company known for providing fare collection systems, training, and mission support services to governments and transit agencies worldwide.
  • E. Nanosphere, Inc.
    Nanosphere, Inc. was a biotechnology company specializing in nanoparticle-based molecular diagnostic tests for detecting genetic and infectious diseases.
  • 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_69ab4c44ab448190b9411324e8a1fc1d completed March 6, 2026, 9:51 p.m.
NER Named-entity recognition batch_69abe0d1dcf881909b3ae58d7cdfd9cd completed March 7, 2026, 8:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69b08658407c8190ad7798590dd17ef9 completed March 10, 2026, 9 p.m.
Created at: March 6, 2026, 10:11 p.m.