Triple

T4136363
Position Surface form Disambiguated ID Type / Status
Subject Road To Recovery E85163 entity
Predicate volunteerRequirement P54077 FINISHED
Object valid driver’s license 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: valid driver’s license | Statement: [Road To Recovery, volunteerRequirement, valid driver’s license]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: volunteerRequirement
Context triple: [Road To Recovery, volunteerRequirement, valid driver’s license]
  • A. 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.
  • B. volunteeredFor
    Indicates that an entity willingly offered their time or services to support or participate in an activity, cause, or organization.
  • C. volunteersAgeRequirement
    Indicates that there is a minimum or specific age condition that must be met in order for someone to be eligible to volunteer.
  • D. evaluationRequirement
    Indicates that one entity imposes or specifies conditions under which another entity must be assessed, tested, or evaluated.
  • E. campaignRequirement
    Indicates that one entity specifies a condition or prerequisite that must be met for a campaign associated with another entity.
  • 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_69aed935ccd881909dc61f81bcdb7a78 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af03a0f3408190adba7a8513bd3d12 completed March 9, 2026, 5:30 p.m.
PD Predicate disambiguation batch_69af018a54848190987f18c066c75068 completed March 9, 2026, 5:21 p.m.
PDg Predicate description generation batch_69af039fb19c8190b20e62a3b3ad25c1 completed March 9, 2026, 5:30 p.m.
Created at: March 9, 2026, 3:43 p.m.