Triple

T3121588
Position Surface form Disambiguated ID Type / Status
Subject Guerrilla Radio E65196 entity
Predicate hasPoliticalTheme P31282 FINISHED
Object anti-establishment 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: anti-establishment | Statement: [Guerrilla Radio, hasPoliticalTheme, anti-establishment]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPoliticalTheme
Context triple: [Guerrilla Radio, hasPoliticalTheme, anti-establishment]
  • A. politicalTheme chosen
    Indicates that something is related to, characterized by, or primarily concerned with politics, governance, or political issues.
  • B. hasPoliticalCharacteristic
    Indicates that an entity possesses a specific political attribute, quality, or affiliation.
  • C. hasPoliticalDialogue
    Indicates that there is an exchange or interaction between entities involving political topics, issues, or negotiations.
  • D. hasPoliticalSignificanceFor
    Indicates that something holds importance, influence, or consequence within the political context or interests of a particular entity.
  • E. politicalIssueIn
    Indicates that a political issue is relevant to, occurs within, or is associated with a particular geographic or political region.
  • 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_69ad8580c72481909672d37acf647893 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada5295cd481908d52e165538c67fa completed March 8, 2026, 4:34 p.m.
PD Predicate disambiguation batch_69ad9df455088190940ad04419772dc8 completed March 8, 2026, 4:04 p.m.
Created at: March 8, 2026, 3:04 p.m.