Triple

T14380473
Position Surface form Disambiguated ID Type / Status
Subject Beijing Capital Airlines E356586 entity
Predicate fleetType P6198 FINISHED
Object Airbus A321 E61915 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 A321 | Statement: [Beijing Capital Airlines, fleetType, Airbus A321]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Airbus A321
Context triple: [Beijing Capital Airlines, fleetType, Airbus A321]
  • A. Airbus A321 chosen
    The Airbus A321 is a stretched, single-aisle commercial jet airliner widely used for short- to medium-haul passenger flights.
  • B. Airbus A320-200
    The Airbus A320-200 is a widely used narrow-body, twin-engine jet airliner designed for short- to medium-haul routes and operated by numerous airlines worldwide.
  • C. Airbus A321neo
    The Airbus A321neo is a fuel-efficient, single-aisle commercial jetliner and the largest member of Airbus’s A320neo family, widely used by airlines for medium- to long-range routes.
  • D. Airbus A319
    The Airbus A319 is a short- to medium-range, narrow-body commercial airliner in the Airbus A320 family, widely used by airlines around the world for passenger services.
  • E. Airbus A320neo
    The Airbus A320neo is a modern, fuel-efficient narrow-body passenger jet widely used by airlines around the world for short- and medium-haul 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_69d8279163a081908aec45c0e3f1e02f completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de900bbfb08190a1e56f281a2374c0 completed April 14, 2026, 7:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd5511c9e4819089dcbf089ca0dc6a completed May 8, 2026, 3:14 a.m.
Created at: April 10, 2026, 1:16 a.m.