Triple

T782279
Position Surface form Disambiguated ID Type / Status
Subject TUI Airways E16522 entity
Predicate aircraftTypeOperated P1524 FINISHED
Object Boeing 737 MAX E22402 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 737 MAX | Statement: [TUI Airways, aircraftTypeOperated, Boeing 737 MAX]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Boeing 737 MAX
Context triple: [TUI Airways, aircraftTypeOperated, Boeing 737 MAX]
  • A. Boeing 737 chosen
    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.
  • B. Boeing 787 Dreamliner
    The Boeing 787 Dreamliner is a long-haul, wide-body commercial airliner known for its fuel efficiency, extensive use of composite materials, and advanced passenger comfort features.
  • C. 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.
  • D. Boeing KC-46 Pegasus
    The Boeing KC-46 Pegasus is a modern U.S. military aerial refueling and strategic transport aircraft developed from the Boeing 767 airliner.
  • E. Boeing 757
    The Boeing 757 is a mid-size, narrow-body twin-engine jet airliner widely used for short- to medium- and some long-haul routes, known for its strong performance and versatility.
  • 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_69a4936ad1fc81908f190208059ccf78 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a765ba688190ab328bb159583077 completed March 1, 2026, 8:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7edfae07c8190b104c869302cd486 completed March 4, 2026, 8:31 a.m.
Created at: March 1, 2026, 7:37 p.m.