Triple

T2435604
Position Surface form Disambiguated ID Type / Status
Subject O. R. Tambo International Airport E52952 entity
Predicate isHubFor P423 FINISHED
Object Mango Airlines E245438 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: Mango Airlines | Statement: [O. R. Tambo International Airport, isHubFor, Mango Airlines]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mango Airlines
Context triple: [O. R. Tambo International Airport, isHubFor, Mango Airlines]
  • A. Mango Airlines chosen
    Mango Airlines is a South African low-cost airline that operated domestic and regional flights as a budget subsidiary of South African Airways.
  • B. Rex Airlines
    Rex Airlines is an Australian regional airline that operates domestic passenger services across multiple states, connecting major cities with regional and remote communities.
  • C. Flair Airlines
    Flair Airlines is a Canadian ultra-low-cost carrier that operates domestic and select international flights, emphasizing budget-friendly travel options.
  • D. Solomon Airlines
    Solomon Airlines is the national flag carrier of the Solomon Islands, operating domestic and international flights across the Pacific region.
  • E. Sky Airline
    Sky Airline is a Chilean low-cost carrier that operates domestic and regional flights across South America.
  • 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_69ab4959bcc0819083246f9fb10439e3 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abc9cd49b48190bff10a5ab7cef483 completed March 7, 2026, 6:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69aebf6e23088190b0ce2feaa3eddda4 completed March 9, 2026, 12:39 p.m.
Created at: March 6, 2026, 9:43 p.m.