Triple

T4320667
Position Surface form Disambiguated ID Type / Status
Subject Tunisair E96506 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: [Tunisair, fleetType, Boeing aircraft]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Boeing aircraft
Context triple: [Tunisair, 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_69b345422aac81909ddbadae437d122e completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b35114ed2c8190949c5d8032d7b921 completed March 12, 2026, 11:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5d08d70408190aca5793a480cf54f completed March 14, 2026, 9:18 p.m.
Created at: March 12, 2026, 11:12 p.m.