Triple

T1675691
Position Surface form Disambiguated ID Type / Status
Subject Mehrabad International Airport E36225 entity
Predicate hubFor P423 FINISHED
Object Mahan Air E189009 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: Mahan Air | Statement: [Mehrabad International Airport, hubFor, Mahan Air]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mahan Air
Context triple: [Mehrabad International Airport, hubFor, Mahan Air]
  • A. Mahan Air chosen
    Mahan Air is a major Iranian private airline that operates domestic and international flights across Asia, Europe, and the Middle East.
  • B. Kish Air
    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.
  • C. Jin Air
    Jin Air is a South Korean low-cost airline that operates domestic and international passenger flights.
  • D. Amakusa Airlines
    Amakusa Airlines is a small Japanese regional airline based in Kumamoto Prefecture that operates domestic routes connecting remote islands and regional cities.
  • E. Pacific Airlines
    Pacific Airlines is a Vietnamese low-cost carrier operating domestic and regional flights as a subsidiary of Vietnam Airlines.
  • 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_69a886139ed081909af0940aa9313512 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa625cb1a08190bf7b138c5bfb90b2 completed March 6, 2026, 5:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69adc993bbb4819085fb5832b33819bd completed March 8, 2026, 7:10 p.m.
Created at: March 4, 2026, 7:29 p.m.