Triple

T14972016
Position Surface form Disambiguated ID Type / Status
Subject Kish City E373343 entity
Predicate hasTransportFacility P2413 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 City, hasTransportFacility, Kish International Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kish International Airport
Context triple: [Kish City, hasTransportFacility, 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. Memuro Airport
    Memuro Airport is a small regional airfield in Hokkaido, Japan, primarily serving local general aviation and agricultural flights.
  • E. Hana Airport
    Hana Airport is a small regional airport serving the remote town of Hāna on the eastern coast of Maui, Hawaii.
  • 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_69d85ccbbcd48190acb56e7cf104d8ad completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded6e767608190940eb6f16ea97451 completed April 15, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffa11f77788190866e0820d33af588 completed May 9, 2026, 9:03 p.m.
Created at: April 10, 2026, 2:50 a.m.