Triple

T30797568
Position Surface form Disambiguated ID Type / Status
Subject civic voluntarism model of political participation E784271 entity
Predicate recruitmentChannel P4145 FINISHED
Object political parties 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: political parties | Statement: [civic voluntarism model of political participation, recruitmentChannel, political parties]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: recruitmentChannel
Context triple: [civic voluntarism model of political participation, recruitmentChannel, political parties]
  • A. recruitmentFrom chosen
    Indicates that one entity recruits or sources members, employees, or participants from another entity.
  • B. recruitmentMethods
    Indicates the ways or strategies used to attract, source, and enlist individuals for a role, program, or organization.
  • C. recruitmentPlatform
    Indicates a relationship where an entity serves as a platform or medium used to recruit or attract candidates for positions or roles.
  • D. recruitmentBase
    Indicates the foundational source, location, or context from which recruitment efforts or recruited entities originate.
  • E. recruitingFocus
    Indicates that an entity’s recruitment efforts are specifically directed toward or concentrated on another entity or group.
  • 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_69f224b2e2a48190b19aa43db9da5b67 completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f69012d19c81909029847777882855 completed May 3, 2026, midnight
PD Predicate disambiguation batch_69f68b7d2794819092fef8a63f4f3de8 completed May 2, 2026, 11:40 p.m.
Created at: April 29, 2026, 8:42 p.m.