Triple

T12400163
Position Surface form Disambiguated ID Type / Status
Subject Lion Air E296229 entity
Predicate subsidiaryOrSisterAirline P82731 FINISHED
Object Batik Air E324615 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: Batik Air | Statement: [Lion Air, subsidiaryOrSisterAirline, Batik Air]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Batik Air
Context triple: [Lion Air, subsidiaryOrSisterAirline, Batik Air]
  • A. Batik Air chosen
    Batik Air is an Indonesian full-service airline operating domestic and regional flights as part of the Lion Air Group.
  • B. Arik Air
    Arik Air is a Nigerian airline that operates domestic, regional, and international flights, and is one of the country’s major carriers.
  • C. Buraq Air
    Buraq Air is a Libyan airline that operates domestic and regional flights, primarily serving routes within Libya and neighboring countries.
  • D. Malindo Air
    Malindo Air is a Malaysian hybrid full-service and low-cost airline that became the first operator of the Boeing 737 MAX 8.
  • E. SunExpress
    SunExpress is a Turkish-German leisure airline that primarily operates holiday and charter flights, especially to and from Turkey and popular European destinations.
  • 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_69d6ad9f464c81909db36d7e96e34b9e completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94d46007c81908e0f4b590402bf58 completed April 10, 2026, 7:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69f64b941d208190b75de2083b8b74a4 completed May 2, 2026, 7:08 p.m.
Created at: April 8, 2026, 9:55 p.m.