Triple

T17671882
Position Surface form Disambiguated ID Type / Status
Subject George Airport E440538 entity
Predicate hasAirlineService P12356 FINISHED
Object CemAir 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: CemAir | Statement: [George Airport, hasAirlineService, CemAir]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CemAir
Context triple: [George Airport, hasAirlineService, CemAir]
  • A. CemAir chosen
    CemAir is a South African regional and domestic airline operating scheduled and charter flights to various destinations within South Africa and neighboring countries.
  • B. Aerograd
    Aerograd is a 1935 Soviet science fiction and propaganda film directed by Alexander Dovzhenko, set in a futuristic Far Eastern border town threatened by foreign and internal enemies.
  • C. J-Air
    J-Air is a Japanese regional airline operating domestic feeder and short-haul routes on behalf of Japan Airlines.
  • D. Consair
    Consair is an abbreviated name historically used for Consolidated Aircraft, a major American aerospace manufacturer known for producing military aircraft such as the B-24 Liberator during World War II.
  • E. L’Air
    L’Air is a celebrated early 20th-century sculpture by Aristide Maillol that exemplifies his serene, classical approach to the female form.
  • 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_69d8b9e87e18819087104a44dc4dc5b1 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e46f69b11c8190b09add33f81776b3 completed April 19, 2026, 6 a.m.
Created at: April 10, 2026, 9:59 a.m.