Triple

T3911677
Position Surface form Disambiguated ID Type / Status
Subject Kota Kinabalu International Airport E87334 entity
Predicate isFocusCityFor P1295 FINISHED
Object MASwings E389545 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: MASwings | Statement: [Kota Kinabalu International Airport, isFocusCityFor, MASwings]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MASwings
Context triple: [Kota Kinabalu International Airport, isFocusCityFor, MASwings]
  • A. MASwings
    MASwings is a regional airline based in Malaysia that primarily operates domestic and short-haul services within East Malaysia and surrounding areas.
  • B. MASwings Sdn Bhd chosen
    MASwings Sdn Bhd is a Malaysian regional airline specializing in rural air services, particularly within Sabah and Sarawak on the island of Borneo.
  • C. ANA Wings
    ANA Wings is a Japanese regional airline operating domestic feeder and short-haul services on behalf of All Nippon Airways.
  • D. The Ninety-Nines
    The Ninety-Nines is an international organization of women pilots founded in 1929 to support and promote women in aviation, with Amelia Earhart as one of its earliest and most famous members.
  • E. WINGO
    WINGO is the radio callsign used by Wingo, a low-cost Colombian airline operating domestic and international flights in Latin 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_69aed9424514819086e9c58adde6652d completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeed35e2d081908b5d87c7630e7ffc completed March 9, 2026, 3:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69b51cb454c48190bf47d080f6cc24f0 completed March 14, 2026, 8:30 a.m.
Created at: March 9, 2026, 3:22 p.m.