Triple

T32806134
Position Surface form Disambiguated ID Type / Status
Subject USK E839023 entity
Predicate contentCriteria P119079 FINISHED
Object violence 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: violence | Statement: [USK, contentCriteria, violence]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: contentCriteria
Context triple: [USK, contentCriteria, violence]
  • A. contentIs
    Indicates that one entity serves as, or is equivalent to, the content contained within another entity.
  • B. contentAccess
    Indicates that one entity is permitted to retrieve, view, or otherwise use the content provided or controlled by another entity.
  • C. contentRestriction chosen
    Indicates that access to or use of certain content is limited or controlled based on specified rules or conditions.
  • D. contentDescriptor
    Indicates that something provides a description or characterization of the content of another entity (such as a resource, item, or work).
  • E. featuredContentType
    Indicates the specific type or category of content that is highlighted or promoted as featured.
  • 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_69f3493d35208190b4351b4e85f2fa16 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f7764ab1fc81909f9348db87bd7692 completed May 3, 2026, 4:22 p.m.
PD Predicate disambiguation batch_69f76905d9c88190b1ee810bc9ab644f completed May 3, 2026, 3:25 p.m.
Created at: May 1, 2026, 1:15 a.m.