Triple

T1755222
Position Surface form Disambiguated ID Type / Status
Subject Aérospatiale E38534 entity
Predicate participatedIn P149 FINISHED
Object Airbus A330 program E38704 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: Airbus A330 program | Statement: [Aérospatiale, participatedIn, Airbus A330 program]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Airbus A330 program
Context triple: [Aérospatiale, participatedIn, Airbus A330 program]
  • A. Airbus A330 chosen
    The Airbus A330 is a wide-body, twin-engine jet airliner designed for medium- to long-haul routes and widely used by airlines around the world.
  • B. Airbus A320 family
    The Airbus A320 family is a widely used series of narrow-body, twin-engine jet airliners designed for short- to medium-haul commercial flights.
  • C. Airbus A300
    The Airbus A300 is a wide-body twin-engine jet airliner introduced in the 1970s as Airbus’s first commercial aircraft and one of the world’s earliest twin-engine wide-bodies.
  • D. Airbus A340
    The Airbus A340 is a long-range, four-engine wide-body commercial airliner designed for intercontinental passenger flights.
  • E. Airbus A350
    The Airbus A350 is a long-range, wide-body twin-engine jet airliner made largely of composite materials and designed to compete with the Boeing 787 and 777 in fuel-efficient long-haul travel.
  • 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_69a8862bdb2081908aefe831c8aa8017 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa641841748190ad05cac4a27cced9 completed March 6, 2026, 5:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69adbf4ba8fc81909b538168a4403330 completed March 8, 2026, 6:26 p.m.
Created at: March 4, 2026, 7:31 p.m.