Triple

T8343985
Position Surface form Disambiguated ID Type / Status
Subject Kish Air E195989 entity
Predicate hub P423 FINISHED
Object Kish International Airport E176521 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: Kish International Airport | Statement: [Kish Air, hub, Kish International Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kish International Airport
Context triple: [Kish Air, hub, Kish International Airport]
  • A. Kish International Airport chosen
    Kish International Airport is the main air gateway serving Iran’s resort and free-trade zone of Kish Island in the Persian Gulf.
  • B. Kurumoch International Airport
    Kurumoch International Airport is the main international airport serving the city of Samara and the surrounding Volga region in Russia.
  • C. Yoron Airport
    Yoron Airport is a small regional airport on Yoron Island in Kagoshima Prefecture, Japan, providing domestic air links to the mainland and nearby islands.
  • D. Hana Airport
    Hana Airport is a small regional airport serving the remote town of Hāna on the eastern coast of Maui, Hawaii.
  • E. Clow International Airport
    Clow International Airport is a public general aviation airport located in Bolingbrook, Illinois, primarily serving private and recreational pilots.
  • 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_69ca82edd63c8190b876b8465464c5fa completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7fed6b588190ba5593859c8effc2 completed March 31, 2026, 8:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfab01c58c81909148dacad2dc7667 completed April 3, 2026, 11:56 a.m.
Created at: March 30, 2026, 5:58 p.m.