Triple

T16058661
Position Surface form Disambiguated ID Type / Status
Subject MAG E389549 entity
Predicate parentCompanyOf P254 FINISHED
Object MASwings E389539 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: [MAG, parentCompanyOf, MASwings]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MASwings
Context triple: [MAG, parentCompanyOf, MASwings]
  • A. MASwings chosen
    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
    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. IUML Women’s Wing
    IUML Women’s Wing is the women’s organization of the Indian Union Muslim League, focusing on political participation, social welfare, and advocacy for Muslim women’s rights.
  • E. 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.
  • 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_69d86dae698881908327ef2d67706cb9 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1837729e4819086e7429e0a76b0d7 completed April 17, 2026, 12:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffdbe678fc8190b36737a9cd29691c completed May 10, 2026, 1:14 a.m.
Created at: April 10, 2026, 4:57 a.m.