Triple

T14776917
Position Surface form Disambiguated ID Type / Status
Subject Volunteer Reserves E347283 entity
Predicate hasRecruitmentRequirement P72224 FINISHED
Object meet medical standards 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: meet medical standards | Statement: [Volunteer Reserves, hasRecruitmentRequirement, meet medical standards]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasRecruitmentRequirement
Context triple: [Volunteer Reserves, hasRecruitmentRequirement, meet medical standards]
  • A. recruitmentRequirement chosen
    Indicates that a certain condition, qualification, or criterion must be satisfied for an entity to be eligible for recruitment or hiring.
  • B. hasRecruitType
    Indicates that an entity is associated with a specific type or category of recruitment.
  • C. hasProfessionalRequirement
    Indicates that one entity imposes or specifies a professional qualification, credential, or condition that must be met by another entity.
  • D. appointmentRequirement
    Indicates that a particular action, service, or interaction can only occur if an appointment has been scheduled or a specified appointment condition is met.
  • E. recruitsFor
    Indicates that one entity actively seeks out, enlists, or brings in participants, members, or resources on behalf of another entity, such as an organization, event, or cause.
  • 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_69d822e9b9e08190bedcc31a163fda82 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec817c39081909b08a0ffdfce9936 completed April 14, 2026, 11:04 p.m.
PD Predicate disambiguation batch_69de8c02e5c08190943c27594026faf7 completed April 14, 2026, 6:48 p.m.
Created at: April 10, 2026, 1:31 a.m.