Triple

T22454903
Position Surface form Disambiguated ID Type / Status
Subject Sultan Hasanuddin International Airport E555089 entity
Predicate servesAsHubFor P423 FINISHED
Object Sriwijaya Air NE NERFINISHED

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: Sriwijaya Air | Statement: [Sultan Hasanuddin International Airport, servesAsHubFor, Sriwijaya Air]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sriwijaya Air
Context triple: [Sultan Hasanuddin International Airport, servesAsHubFor, Sriwijaya Air]
  • A. Sriwijaya Air chosen
    Sriwijaya Air is an Indonesian airline that operates domestic and regional flights across Southeast Asia.
  • B. Lion Air
    Lion Air is a major Indonesian low-cost airline operating extensive domestic and regional routes across Southeast Asia.
  • C. Mandala Airlines
    Mandala Airlines was an Indonesian airline that operated domestic and regional flights before ceasing operations in the early 2010s.
  • D. Belau Air
    Belau Air is a small regional airline based in Palau that operates domestic and nearby international flights, primarily serving local island communities.
  • E. Merpati Nusantara Airlines
    Merpati Nusantara Airlines was an Indonesian state-owned airline that operated domestic and regional flights across the archipelago before ceasing operations.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e5113208190ab58c6b595f9d1d0 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15b4e2bd4819083e5bed44e9776c6 completed April 29, 2026, 1:13 a.m.
Created at: April 16, 2026, 8:48 p.m.