Triple

T10752720
Position Surface form Disambiguated ID Type / Status
Subject Singapore Changi Airport E253611 entity
Predicate focusCityFor P164 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: [Singapore Changi Airport, focusCityFor, Qantas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Qantas
Context triple: [Singapore Changi Airport, focusCityFor, 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. Virgin Australia
    Virgin Australia is a major Australian airline offering domestic and international passenger services with a focus on full-service amenities and extensive route networks.
  • C. Qantas Freight
    Qantas Freight is the air cargo and logistics division of Qantas, providing domestic and international freight services.
  • D. Jetstar Airways
    Jetstar Airways is an Australian low-cost airline operating domestic and international flights, owned by the Qantas Group.
  • E. Ansett-ANA
    Ansett-ANA was a major Australian domestic airline formed from the merger of Ansett Airways and Australian National Airways, operating from the late 1950s until the early 1960s.
  • 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_69d6aa5e51e8819095f06881cecf152e completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d71dc184d0819085f8bc4edb034377 completed April 9, 2026, 3:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69dbdb897f7c81909002f2478613eff8 completed April 12, 2026, 5:51 p.m.
Created at: April 8, 2026, 9:15 p.m.