Triple

T633219
Position Surface form Disambiguated ID Type / Status
Subject Boeing 747SP E15965 entity
Predicate primaryUser P2090 FINISHED
Object Qantas E10272 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: Qantas | Statement: [Boeing 747SP, primaryUser, Qantas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Qantas
Context triple: [Boeing 747SP, primaryUser, Qantas]
  • A. Qantas chosen
    Qantas is Australia’s flag carrier and one of the world’s oldest continuously operating airlines, known for its extensive international network and membership in the Oneworld alliance.
  • B. Qantas Freight
    Qantas Freight is the air cargo and logistics division of Qantas, providing domestic and international freight services.
  • C. Jetstar Airways
    Jetstar Airways is an Australian low-cost airline operating domestic and international flights, owned by the Qantas Group.
  • D. QantasLink
    QantasLink is the regional airline brand of Qantas, operating domestic and short-haul services to smaller cities and remote areas in Australia.
  • E. Cathay Pacific
    Cathay Pacific is a major Hong Kong-based international airline known for its extensive global network and premium full-service operations.
  • 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_69a4935c131c8190a5378c6bf101e8cc completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a49ec3b6488190aa0dce216c089a2e completed March 1, 2026, 8:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69a56ef052308190bfaed448c3737ef6 completed March 2, 2026, 11:05 a.m.
Created at: March 1, 2026, 7:35 p.m.