Triple

T7471698
Position Surface form Disambiguated ID Type / Status
Subject Kish International Airport E176521 entity
Predicate servesAirline P12356 FINISHED
Object Qeshm Air E192414 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: Qeshm Air | Statement: [Kish International Airport, servesAirline, Qeshm Air]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Qeshm Air
Context triple: [Kish International Airport, servesAirline, Qeshm Air]
  • A. Qeshm Air chosen
    Qeshm Air is an Iranian airline that operates domestic and regional flights, primarily serving routes within Iran and to nearby international destinations.
  • B. Karun Airlines
    Karun Airlines is an Iranian airline that operates passenger and cargo services, primarily based in Tehran.
  • C. Caspian Airlines
    Caspian Airlines is an Iranian passenger airline operating domestic and regional flights, with a primary hub at Tehran Imam Khomeini International Airport.
  • D. Iran Aseman Airlines
    Iran Aseman Airlines is an Iranian airline headquartered in Tehran that operates domestic and regional flights across the Middle East and surrounding regions.
  • E. Meraj Airlines
    Meraj Airlines is an Iranian passenger airline operating domestic and international flights, with a primary base in Tehran.
  • 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_69c83c625a388190bfe9237568ab2005 completed March 28, 2026, 8:38 p.m.
Created at: March 27, 2026, 3:41 p.m.