Triple

T14603232
Position Surface form Disambiguated ID Type / Status
Subject Isfahan International Airport E342753 entity
Predicate usedBy P260 FINISHED
Object Karun Airlines E219912 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: Karun Airlines | Statement: [Isfahan International Airport, usedBy, Karun Airlines]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Karun Airlines
Context triple: [Isfahan International Airport, usedBy, Karun Airlines]
  • A. Karun Airlines chosen
    Karun Airlines is an Iranian airline that operates passenger and cargo services, primarily based in Tehran.
  • B. Varesh Airlines
    Varesh Airlines is an Iranian airline that operates domestic and regional flights, using Mashhad International Airport as one of its main operational bases.
  • C. 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.
  • D. Qeshm Air
    Qeshm Air is an Iranian airline that operates domestic and regional flights, primarily serving routes within Iran and to nearby international destinations.
  • E. Caspian Airlines
    Caspian Airlines is an Iranian passenger airline operating domestic and regional flights, with a primary hub at Tehran Imam Khomeini International Airport.
  • 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_69fdf0763ca081909fa8bcbdc46f2fac completed May 8, 2026, 2:17 p.m.
Created at: April 10, 2026, 1:25 a.m.