Triple

T14603227
Position Surface form Disambiguated ID Type / Status
Subject Isfahan International Airport E342753 entity
Predicate usedBy P260 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: [Isfahan International Airport, usedBy, Mahan Air]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mahan Air
Context triple: [Isfahan International Airport, usedBy, 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. Makung International Airlines
    Makung International Airlines was a former Taiwanese regional carrier based in Penghu that later became part of UNI Air.
  • C. NAM Air
    NAM Air is an Indonesian regional airline that operates domestic passenger services and functions as a feeder carrier within the Sriwijaya Air group.
  • D. 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.
  • E. 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.
  • 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_69d822dec68081908c2553145c4051dc completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb43a1bb48190bf520cb961f15b5e completed April 14, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd94ce6c208190a732f1a25700f07c completed May 8, 2026, 7:46 a.m.
Created at: April 10, 2026, 1:25 a.m.