Triple

T26374347
Position Surface form Disambiguated ID Type / Status
Subject Luftstreitkräfte der Nationalen Volksarmee E660852 entity
Predicate usedTrainerAircraft P162330 FINISHED
Object Aero L-39 Albatros 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-39 Albatros | Statement: [Luftstreitkräfte der Nationalen Volksarmee, usedTrainerAircraft, Aero L-39 Albatros]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usedTrainerAircraft
Context triple: [Luftstreitkräfte der Nationalen Volksarmee, usedTrainerAircraft, Aero L-39 Albatros]
  • A. usedTrainerAircraft chosen
    Indicates that an entity employed a particular trainer aircraft for training or instructional purposes.
  • B. aircraftTrainedOn
    Indicates that an aircraft has been used as the platform or subject for training a person or crew in its operation or related skills.
  • C. usedJetAircraft
    Indicates that one entity operated or employed a jet-powered aircraft in some activity or context involving another entity.
  • D. referredAircraftUsedIn
    Indicates that an aircraft being referred to is the one that was actually used in a particular event, operation, or context.
  • E. referredAircraftUsedFor
    Indicates that the referenced aircraft is utilized for a particular purpose, role, or operation in relation to another entity or context.
  • 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_69ee812a698881908d6a58265995fa39 completed April 26, 2026, 9:18 p.m.
NER Named-entity recognition batch_69f62d53ad58819080c5227c7a729d15 completed May 2, 2026, 4:58 p.m.
PD Predicate disambiguation batch_69f62c15952881908a5ea0c25904afec completed May 2, 2026, 4:53 p.m.
Created at: April 26, 2026, 11 p.m.