Triple

T22430951
Position Surface form Disambiguated ID Type / Status
Subject A158 E554497 entity
Predicate designates P974 FINISHED
Object Antonov An-158 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: Antonov An-158 | Statement: [A158, designates, Antonov An-158]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Antonov An-158
Context triple: [A158, designates, Antonov An-158]
  • A. Antonov An-158 (historically) chosen
    The Antonov An-158 is a Ukrainian-designed regional jet airliner, developed as a stretched variant of the An-148 to carry more passengers on short- to medium-haul routes.
  • B. Tupolev Tu-324
    The Tupolev Tu-324 is a proposed Russian regional jet airliner designed by the Tupolev Design Bureau to serve short- to medium-haul routes.
  • C. Antonov An-10
    The Antonov An-10 is a Soviet-era four-engine turboprop airliner that was also adapted for military transport roles.
  • D. Antonov An-72
    The Antonov An-72 is a Soviet-designed short takeoff and landing (STOL) transport aircraft known for its distinctive overwing engine configuration and use in both military and civilian roles.
  • E. Antonov An-32
    The Antonov An-32 is a twin-engine turboprop military transport aircraft designed for hot-and-high operations, widely used for tactical airlift and cargo missions.
  • 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_69e11e4f2d0c819091aa3558ea2ee630 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15a311b148190bdb752f3f067bb3f completed April 29, 2026, 1:09 a.m.
Created at: April 16, 2026, 8:47 p.m.