Triple

T6662048
Position Surface form Disambiguated ID Type / Status
Subject Syrian Air E151499 entity
Predicate fleetIncludes P10916 FINISHED
Object Airbus A320 family aircraft E9047 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 A320 family aircraft | Statement: [Syrian Air, fleetIncludes, Airbus A320 family aircraft]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Airbus A320 family aircraft
Context triple: [Syrian Air, fleetIncludes, Airbus A320 family aircraft]
  • A. Airbus A320 family chosen
    The Airbus A320 family is a widely used series of narrow-body, twin-engine jet airliners designed for short- to medium-haul commercial 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 A321
    The Airbus A321 is a stretched, single-aisle commercial jet airliner widely used for short- to medium-haul passenger flights.
  • D. Airbus A330
    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.
  • 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_69c687f5fac48190a09e4838d9c6b45d completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6b097e0e481909251443f9ce0b85a completed March 27, 2026, 4:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6ef0a0c208190ac6a309bfb2e4e4b completed March 27, 2026, 8:56 p.m.
Created at: March 27, 2026, 2:02 p.m.