Triple

T8097001
Position Surface form Disambiguated ID Type / Status
Subject Mahan Air E189009 entity
Predicate fleetType P6198 FINISHED
Object Boeing aircraft E125594 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: Boeing aircraft | Statement: [Mahan Air, fleetType, Boeing aircraft]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Boeing aircraft
Context triple: [Mahan Air, fleetType, Boeing aircraft]
  • A. Boeing
    Boeing is a major American aerospace company best known for designing and manufacturing commercial jetliners and military aircraft used worldwide.
  • B. Boeing 7x7 family chosen
    The Boeing 7x7 family is a series of jet airliners produced by Boeing Commercial Airplanes, encompassing its major commercial passenger aircraft models such as the 707, 727, 737, 747, 757, 767, 777, and 787.
  • C. Boeing 737
    The Boeing 737 is a widely used narrow-body commercial jet airliner known for being one of the best-selling passenger aircraft in aviation history.
  • D. Boeing Air Transport
    Boeing Air Transport was an early American airline and a predecessor of United Airlines that operated mail and passenger services in the late 1920s and early 1930s.
  • E. Boeing 777
    The Boeing 777 is a long-range, wide-body twin-engine jet airliner widely used by airlines around the world for international passenger flights.
  • 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_69ca82b886d88190a9cba0d5a4a27521 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb429319048190b612c8060a9a24d2 completed March 31, 2026, 3:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc641a4b4881908a1aec4bc2ed619e completed April 1, 2026, 12:17 a.m.
Created at: March 30, 2026, 5:30 p.m.