Triple

T23224927
Position Surface form Disambiguated ID Type / Status
Subject AN32 E580988 entity
Predicate introducedAsDesignatorFor P103473 FINISHED
Object Antonov An-32 NE NERFINISHED

How this triple was built (3 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-32 | Statement: [AN32, introducedAsDesignatorFor, Antonov An-32]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Antonov An-32
Context triple: [AN32, introducedAsDesignatorFor, Antonov An-32]
  • A. Antonov An-32 chosen
    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.
  • B. 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.
  • C. Antonov An-26
    The Antonov An-26 is a twin-engine Soviet-era turboprop transport aircraft widely used for military and cargo operations around the world.
  • D. Antonov An-12
    The Antonov An-12 is a Soviet-era four-engine turboprop military transport aircraft widely used for cargo and troop transport by numerous air forces and civilian operators around the world.
  • E. An-24
    The An-24 is a twin-turboprop Soviet-built regional airliner and utility transport aircraft widely used for passenger, cargo, and military operations.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: introducedAsDesignatorFor
Context triple: [AN32, introducedAsDesignatorFor, Antonov An-32]
  • A. usesDesignator chosen
    Indicates that one entity employs or references a specific designator (such as a name, code, or identifier) to denote or refer to another entity.
  • B. designatorType
    Indicates the specific role or category of a designator used to identify or reference an entity within a system or context.
  • C. introducedAsNameIn
    Indicates that an entity is presented or referred to by a particular name within a specified context or source.
  • D. introducedAsType
    Indicates that one entity is presented or identified to others as having a particular role, category, or type.
  • E. derivativeDesignation
    Indicates that one entity is formally identified as a derivative or adapted version of another entity.
  • F. None of above.

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_69e246043c48819089bae72c9a9c306c completed April 17, 2026, 2:39 p.m.
NER Named-entity recognition batch_69f1922d30b08190a3c54bab58f5c8e7 completed April 29, 2026, 5:07 a.m.
PD Predicate disambiguation batch_69effcccee508190a7ae311fdd319806 completed April 28, 2026, 12:18 a.m.
Created at: April 17, 2026, 4:08 p.m.