Triple

T7471695
Position Surface form Disambiguated ID Type / Status
Subject Kish International Airport E176521 entity
Predicate servesAirline P12356 FINISHED
Object Kish Air E195989 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 Air | Statement: [Kish International Airport, servesAirline, Kish Air]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kish Air
Context triple: [Kish International Airport, servesAirline, Kish Air]
  • A. Kish Air chosen
    Kish Air is an Iranian airline that operates domestic and regional flights, particularly serving routes to and from the resort island of Kish in the Persian Gulf.
  • B. Akasa Air
    Akasa Air is an Indian low-cost airline that began operations in 2022, offering domestic flights with a focus on affordable fares and a modern fleet.
  • C. Wasaya Airways
    Wasaya Airways is a Canadian regional airline based in northern Ontario that primarily provides passenger and cargo services to remote First Nations and northern communities.
  • D. Mahan Air
    Mahan Air is a major Iranian private airline that operates domestic and international flights across Asia, Europe, and the Middle East.
  • E. Qeshm Air
    Qeshm Air is an Iranian airline that operates domestic and regional flights, primarily serving routes within Iran and to nearby international destinations.
  • 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_69c69f223fd88190b4c69b95d7cbeeda completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f415b5cc81909e1e097c90f460b6 completed March 27, 2026, 9:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69c83480a40c8190a7ae3e08022735a1 completed March 28, 2026, 8:05 p.m.
Created at: March 27, 2026, 3:41 p.m.