Triple

T6585352
Position Surface form Disambiguated ID Type / Status
Subject Burnin' E159205 entity
Predicate featuresPoliticalThemes P31282 FINISHED
Object true 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: true | Statement: [Burnin', featuresPoliticalThemes, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: featuresPoliticalThemes
Context triple: [Burnin', featuresPoliticalThemes, true]
  • A. politicalTheme chosen
    Indicates that something is related to, characterized by, or primarily concerned with politics, governance, or political issues.
  • B. ideologicalTheme
    Indicates that one entity embodies, expresses, or is centrally concerned with a particular ideology or set of ideological beliefs.
  • C. mainPoliticalDevelopment
    Indicates the primary or most significant political change, event, or evolution affecting an entity within a given period or context.
  • D. currentPoliticalTrend
    Indicates the prevailing direction or pattern of political attitudes, behaviors, or power dynamics at a given time.
  • 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_69c688366ce8819083f8883983c0df92 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6c07cdf048190945ca5810fb1de88 completed March 27, 2026, 5:38 p.m.
PD Predicate disambiguation batch_69c6acfb462481909cb7aff5af4bca9d completed March 27, 2026, 4:14 p.m.
Created at: March 27, 2026, 1:54 p.m.