Triple

T5940094
Position Surface form Disambiguated ID Type / Status
Subject Cape Town International Airport E132144 entity
Predicate hasHubAirline P423 FINISHED
Object FlySafair E459946 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: FlySafair | Statement: [Cape Town International Airport, hasHubAirline, FlySafair]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: FlySafair
Context triple: [Cape Town International Airport, hasHubAirline, FlySafair]
  • A. FlySafair chosen
    FlySafair is a South African low-cost airline known for operating domestic routes with a focus on affordability and reliability.
  • B. flydubai
    flydubai is a Dubai-based low-cost airline operating an extensive network of regional and international routes, primarily across the Middle East, Asia, Africa, and Europe.
  • C. SunExpress
    SunExpress is a Turkish-German leisure airline that primarily operates holiday and charter flights, especially to and from Turkey and popular European destinations.
  • D. Batik Air
    Batik Air is an Indonesian full-service airline operating domestic and regional flights as part of the Lion Air Group.
  • E. SalamAir
    SalamAir is a low-cost Omani airline based in Muscat that operates regional and international flights across the Middle East, Asia, and beyond.
  • 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_69c0085c55dc8190aa90e242c956e2fa completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c038f101c081908fb530d2f1f358fc completed March 22, 2026, 6:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0c0748c888190b41326eddc76db62 completed March 23, 2026, 4:24 a.m.
Created at: March 22, 2026, 4:01 p.m.