Triple

T9727942
Position Surface form Disambiguated ID Type / Status
Subject Vickers Wellesley E235662 entity
Predicate airframeDesign P25338 FINISHED
Object geodetic construction LITERAL 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: geodetic construction | Statement: [Vickers Wellesley, airframeDesign, geodetic construction]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: airframeDesign
Context triple: [Vickers Wellesley, airframeDesign, geodetic construction]
  • A. airframe
    Indicates that an entity is the structural framework or body of an aircraft associated with another entity (such as a specific model, component, or system).
  • B. airframeDesigner
    Indicates that one entity is the designer or design authority responsible for the airframe of an aircraft or aerospace vehicle associated with the other entity.
  • C. airframeConstruction chosen
    Indicates the method or structural approach used to build an aircraft’s main body and supporting framework.
  • D. airframeDerivedFrom
    Indicates that one airframe design is derived or developed from another pre-existing airframe design.
  • E. aircraftDesignFeature
    Indicates a relationship where a specific design feature is associated with, or incorporated into, an aircraft.
  • 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_69ca84d0fad481909cdd45aa77416c48 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9e7af544819090a8a1adec41943c completed April 1, 2026, 10:38 p.m.
PD Predicate disambiguation batch_69cd03c6ffc88190a5e9569e19122ad5 completed April 1, 2026, 11:38 a.m.
Created at: March 30, 2026, 8:21 p.m.