Triple

T13682843
Position Surface form Disambiguated ID Type / Status
Subject Jump School E328043 entity
Predicate militaryOccupationSpecialtySupported P87507 FINISHED
Object airborne infantry 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: airborne infantry | Statement: [Jump School, militaryOccupationSpecialtySupported, airborne infantry]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: militaryOccupationSpecialtySupported
Context triple: [Jump School, militaryOccupationSpecialtySupported, airborne infantry]
  • A. hasMilitarySpeciality chosen
    Indicates that an entity possesses a specific military role, skill set, or area of professional expertise within the armed forces.
  • B. militaryBranchEligibility
    Indicates that an entity meets the required conditions to serve in a specified branch of the military.
  • C. militaryBranchSupervised
    Indicates that one military branch has authority over, or is responsible for overseeing and directing, another military branch.
  • D. militaryRankEligibility
    Indicates that one entity is qualified or permitted to hold, attain, or be considered for a specified military rank.
  • E. mayBeAwardedToMilitaryPersonnel
    Indicates that something (such as an honor, decoration, or benefit) is eligible to be granted to members of the military.
  • 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_69d8076f1fa8819094664a59b55010df completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc66e75188190a9e82fdc5eb26513 completed April 12, 2026, 4:21 p.m.
PD Predicate disambiguation batch_69dbbe9059488190a8113177c83e1481 completed April 12, 2026, 3:47 p.m.
Created at: April 9, 2026, 9:53 p.m.