Triple

T757289
Position Surface form Disambiguated ID Type / Status
Subject Swiss Air Force E15583 entity
Predicate hasRecruitmentBasis P5414 FINISHED
Object conscription 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: conscription | Statement: [Swiss Air Force, hasRecruitmentBasis, conscription]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasRecruitmentBasis
Context triple: [Swiss Air Force, hasRecruitmentBasis, conscription]
  • A. recruitmentBasis chosen
    Indicates the criteria, grounds, or conditions on which an entity is recruited or selected for a role or position.
  • B. recruitmentBase
    Indicates the foundational source, location, or context from which recruitment efforts or recruited entities originate.
  • C. hasEarlyRecruitmentBase
    Indicates that an entity has an initial or foundational group from which it recruits members or participants earlier than usual in a process or timeline.
  • D. recruitmentControlledBy
    Indicates that the process of recruiting or selecting members for a group, role, or organization is directed, managed, or determined by a particular controlling entity.
  • E. recruitmentFrom
    Indicates that one entity recruits or sources members, employees, or participants from 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_69a493599a0081908da65f3407af1ef2 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a66ab4608190afcd81e6606c5116 completed March 1, 2026, 8:49 p.m.
PD Predicate disambiguation batch_69a4a50348088190873a1446db657a78 completed March 1, 2026, 8:43 p.m.
Created at: March 1, 2026, 7:37 p.m.