Triple

T16524125
Position Surface form Disambiguated ID Type / Status
Subject Comissão de Censura E401390 entity
Predicate targetedContent P57060 FINISHED
Object anti‑regimePoliticalContent 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‑regimePoliticalContent | Statement: [Comissão de Censura, targetedContent, anti‑regimePoliticalContent]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: targetedContent
Context triple: [Comissão de Censura, targetedContent, anti‑regimePoliticalContent]
  • A. curatesContentFrom
    Indicates that one entity selects, organizes, and presents content that originates from another entity.
  • B. hasContentTailoredTo
    Indicates that something (such as a message, product, or experience) has its content specifically adapted or customized to suit a particular target, context, or audience.
  • C. featuredContentType chosen
    Indicates the specific type or category of content that is highlighted or promoted as featured.
  • D. targetedActivity
    Indicates that an activity is specifically directed or focused toward a particular entity, group, or objective.
  • E. targetedBecauseOf
    Indicates that one entity is made a target of an action, harm, or scrutiny specifically due to possessing a particular attribute, identity, or characteristic.
  • 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_69d883838abc8190bc79cb2d41733ce2 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e32ed2622c8190b6429a49ca92284a completed April 18, 2026, 7:12 a.m.
PD Predicate disambiguation batch_69e296995d388190b88ebe189dce890d completed April 17, 2026, 8:22 p.m.
Created at: April 10, 2026, 5:14 a.m.