Triple

T14361492
Position Surface form Disambiguated ID Type / Status
Subject Lomé–Tokoin International Airport E356113 entity
Predicate isHubFor P423 FINISHED
Object ASKY Airlines E701124 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: ASKY Airlines | Statement: [Lomé–Tokoin International Airport, isHubFor, ASKY Airlines]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ASKY Airlines
Context triple: [Lomé–Tokoin International Airport, isHubFor, ASKY Airlines]
  • A. ASKY Airlines chosen
    ASKY Airlines is a West African regional airline based in Lomé, Togo, operating a network of routes across multiple countries in the region.
  • B. SkyUp Airlines
    SkyUp Airlines is a Ukrainian low-cost carrier known for operating domestic and international flights across Europe, the Middle East, and other regions.
  • C. Spring Airlines
    Spring Airlines is a Chinese low-cost carrier headquartered in Shanghai, known for operating budget-friendly domestic and regional flights, particularly within East Asia.
  • D. Rubystar Airways
    Rubystar Airways is a Belarusian cargo airline based in Minsk that operates regional and international freight services.
  • E. Skytrans Airlines
    Skytrans Airlines is a regional Australian carrier that primarily operates domestic flights within Queensland, including services to remote and rural communities.
  • 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_69d82790a7e08190877e2d349b2e8d8e completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de8fabec088190bd8128371b29e958 completed April 14, 2026, 7:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd4c4aba788190bd5ab8cbc772dcf1 completed May 8, 2026, 2:36 a.m.
Created at: April 10, 2026, 1:15 a.m.