Triple

T25842707
Position Surface form Disambiguated ID Type / Status
Subject Australian Defence Force Reserves E650978 entity
Predicate hasRecruitmentProgram P191771 FINISHED
Object Gap Year and reserve recruiting initiatives 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: Gap Year and reserve recruiting initiatives | Statement: [Australian Defence Force Reserves, hasRecruitmentProgram, Gap Year and reserve recruiting initiatives]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasRecruitmentProgram
Context triple: [Australian Defence Force Reserves, hasRecruitmentProgram, Gap Year and reserve recruiting initiatives]
  • A. hasVolunteerProgram
    Indicates that an organization or entity offers an organized program through which individuals can volunteer their time or services.
  • B. hasRecruitStatus
    Indicates that an entity holds a particular recruitment-related status or stage within a recruiting process.
  • C. hasWorkProgram
    Indicates that an entity offers, participates in, or is associated with a specific work-related program or scheme.
  • D. hasEducationalProgram
    Indicates that an entity offers, runs, or is associated with a specific educational program.
  • E. companyProgram
    Indicates that a program is organized, operated, or sponsored by a specific company.
  • F. None of above. chosen

Provenance (4 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_69e7ab38086081908f3a8e7e0c6efd83 completed April 21, 2026, 4:52 p.m.
NER Named-entity recognition batch_69fcec5f8b448190b48330a19b462d24 completed May 7, 2026, 7:47 p.m.
PD Predicate disambiguation batch_69fceaf1e23881908ca24160a638e329 completed May 7, 2026, 7:41 p.m.
PDg Predicate description generation batch_69fcec5e560481909cd710b88897e833 completed May 7, 2026, 7:47 p.m.
Created at: April 22, 2026, 7:50 a.m.