Triple

T909601
Position Surface form Disambiguated ID Type / Status
Subject Northrop X-4 Bantam E19627 entity
Predicate retirementReason P15987 FINISHED
Object aerodynamic limitations at transonic speeds 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: aerodynamic limitations at transonic speeds | Statement: [Northrop X-4 Bantam, retirementReason, aerodynamic limitations at transonic speeds]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: retirementReason
Context triple: [Northrop X-4 Bantam, retirementReason, aerodynamic limitations at transonic speeds]
  • A. retirementDate
    Indicates the date on which an entity stops its active role or service, typically marking the end of its professional or operational period.
  • B. reasonForLeaving chosen
    Indicates the cause, motivation, or circumstance that led an entity to depart or discontinue an association, position, or place.
  • C. retiredFrom
    Indicates that an entity has permanently stopped working for or being active in a specified organization, role, or activity.
  • D. retiredTo
    Indicates that an entity has permanently left active service or work and taken up residence or status in a particular place or role as their retirement destination.
  • E. retired
    Indicates that an entity has permanently stopped working in their former occupation or role, typically after reaching a certain age or service duration.
  • 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_69a4939f91a08190ba68c2c81eab90fe completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b2f605bc8190a5245aa2ca55cf43 completed March 1, 2026, 9:43 p.m.
PD Predicate disambiguation batch_69a4b2918ea881908698020b995a8eae completed March 1, 2026, 9:41 p.m.
Created at: March 1, 2026, 7:39 p.m.