Triple

T99632
Position Surface form Disambiguated ID Type / Status
Subject Oneworld E2012 entity
Predicate hasMember P10 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: [Oneworld, hasMember, Qantas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Qantas
Context triple: [Oneworld, hasMember, 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. Cathay Pacific
    Cathay Pacific is a major Hong Kong-based international airline known for its extensive global network and premium full-service operations.
  • C. United Airlines
    United Airlines is a major American airline and Star Alliance member known for its extensive domestic and international route network operated from multiple hubs across the United States.
  • D. American Airlines
    American Airlines is a major U.S.-based airline and one of the world's largest carriers, operating extensive domestic and international routes.
  • E. Delta Air Lines
    Delta Air Lines is a major U.S.-based global airline headquartered in Atlanta, known for its extensive domestic and international route network and membership in the SkyTeam alliance.
  • 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_69a24d4862f881908cc8b89d3a78031d completed Feb. 28, 2026, 2:04 a.m.
NER Named-entity recognition batch_69a24ff1a8cc8190843d4c6807cebd09 completed Feb. 28, 2026, 2:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69a27c030ddc8190af2ebb672237bf18 completed Feb. 28, 2026, 5:24 a.m.
Created at: Feb. 28, 2026, 2:09 a.m.