Triple

T13682875
Position Surface form Disambiguated ID Type / Status
Subject Jump Week E328044 entity
Predicate qualificationEarned P55991 FINISHED
Object U.S. Army basic airborne qualification 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: U.S. Army basic airborne qualification | Statement: [Jump Week, qualificationEarned, U.S. Army basic airborne qualification]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: qualificationEarned
Context triple: [Jump Week, qualificationEarned, U.S. Army basic airborne qualification]
  • A. qualificationBadge
    Indicates that an entity has been awarded or holds a specific qualification badge signifying a certified skill, status, or achievement.
  • B. hasQualification
    Indicates that an entity possesses a specific qualification, credential, or competency.
  • C. eligibleDegree
    Indicates that an academic degree qualifies its holder to be considered eligible for a particular program, position, or requirement.
  • D. credentialAwarded chosen
    Indicates that a particular credential has been granted or conferred to an entity as a result of meeting specified requirements.
  • E. qualificationIncentive
    Indicates that an incentive or benefit is provided contingent upon obtaining or holding a particular qualification.
  • 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.