Triple

T21089270
Position Surface form Disambiguated ID Type / Status
Subject F124 E519588 entity
Predicate application P98 FINISHED
Object Aero L-159B NE NERFINISHED

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: Aero L-159B | Statement: [F124, application, Aero L-159B]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aero L-159B
Context triple: [F124, application, Aero L-159B]
  • A. Aero L-159 ALCA chosen
    The Aero L-159 ALCA is a Czech-built light combat and advanced jet trainer aircraft designed for close air support, reconnaissance, and pilot training roles.
  • B. FA-50
    The FA-50 is a South Korean light combat and trainer aircraft developed from the T-50 Golden Eagle, used for both advanced pilot training and multirole combat missions.
  • C. Yak-130
    The Yak-130 is a Russian twin-engine advanced jet trainer and light attack aircraft designed to prepare pilots for modern combat aircraft while also performing close air support missions.
  • D. Aero L-29 Delfin
    The Aero L-29 Delfin is a Czechoslovakian jet trainer aircraft that served as the standard basic training jet for Warsaw Pact air forces during the Cold War.
  • E. Aero L-39 Albatros
    The Aero L-39 Albatros is a Czechoslovak-designed jet trainer and light attack aircraft widely used around the world for military pilot training and aerobatic display teams.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b507dd9081908fb8bfcbef4c8b46 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7094dd65481909391ed74115afc23 completed April 21, 2026, 5:21 a.m.
Created at: April 16, 2026, 2:50 p.m.