Triple

T17255462
Position Surface form Disambiguated ID Type / Status
Subject Seeb International Airport E418868 entity
Predicate hubFor P423 FINISHED
Object SalamAir E418869 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: SalamAir | Statement: [Seeb International Airport, hubFor, SalamAir]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SalamAir
Context triple: [Seeb International Airport, hubFor, SalamAir]
  • A. SalamAir chosen
    SalamAir is a low-cost Omani airline based in Muscat that operates regional and international flights across the Middle East, Asia, and beyond.
  • B. Belau Air
    Belau Air is a small regional airline based in Palau that operates domestic and nearby international flights, primarily serving local island communities.
  • C. 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.
  • D. Batik Air
    Batik Air is an Indonesian full-service airline operating domestic and regional flights as part of the Lion Air Group.
  • E. Buraq Air
    Buraq Air is a Libyan airline that operates domestic and regional flights, primarily serving routes within Libya and neighboring countries.
  • 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_69d886d9ab108190b70edd8d17aa1204 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42e6c362c819088965c6e05f33faf completed April 19, 2026, 1:22 a.m.
NED1 Entity disambiguation (via context triple) batch_6a018c3ca3f08190b7da411a5638214e completed May 11, 2026, 7:58 a.m.
Created at: April 10, 2026, 5:39 a.m.