Triple

T418813
Position Surface form Disambiguated ID Type / Status
Subject Pilot Flying J E8053 entity
Predicate parentCompany P254 FINISHED
Object Pilot Company E52965 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: Pilot Company | Statement: [Pilot Flying J, parentCompany, Pilot Company]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pilot Company
Context triple: [Pilot Flying J, parentCompany, Pilot Company]
  • A. Pilot Corporation chosen
    Pilot Corporation was the original name of Pilot Flying J, a major American operator of truck stops and travel centers.
  • B. John Company
    John Company is a historical nickname for the British East India Company, the powerful trading corporation that played a central role in establishing British rule in India.
  • C. Huff-Daland Aero Corporation
    Huff-Daland Aero Corporation was an early American aircraft manufacturer best known for developing some of the first specialized crop-dusting airplanes in the 1920s.
  • D. Varney Air Lines
    Varney Air Lines was an early U.S. airmail and passenger carrier that became one of the key predecessors of modern United Airlines.
  • E. Peach Aviation
    Peach Aviation is a Japanese low-cost airline based in Osaka that operates domestic and international flights primarily across East Asia.
  • 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_69a2e7f1d1bc81909cf2dc9754a3c334 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2ee917de48190965fba455efd2320 completed Feb. 28, 2026, 1:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69a42543e3ec81908a56075495b1279f completed March 1, 2026, 11:38 a.m.
Created at: Feb. 28, 2026, 1:11 p.m.