Triple

T20398275
Position Surface form Disambiguated ID Type / Status
Subject The French Line E500263 entity
Predicate censorshipIssue P138544 FINISHED
Object challenged by censors for suggestive content 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: challenged by censors for suggestive content | Statement: [The French Line, censorshipIssue, challenged by censors for suggestive content]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: censorshipIssue
Context triple: [The French Line, censorshipIssue, challenged by censors for suggestive content]
  • A. censorshipIssues
    Indicates that one entity imposes restrictions, suppression, or control over the information, expression, or content associated with another entity.
  • B. censorshipReason
    Indicates the justification or cause given for why certain content is suppressed, restricted, or removed.
  • C. censorshipEvent
    Indicates an event in which information, expression, or communication is suppressed, restricted, or altered by some controlling authority or mechanism.
  • D. censorshipLevel
    Indicates the degree or strictness of control, suppression, or restriction applied to information, media, or expression.
  • E. censorshipTarget chosen
    Indicates that an entity is the object or focus of censorship by another entity or authority.
  • 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_69e0b4a81bec8190b69adfdc1336a015 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6798c2b28819092fab93f01218cde completed April 20, 2026, 7:07 p.m.
PD Predicate disambiguation batch_69e5765d7cb48190adec18d6d1e3d263 completed April 20, 2026, 12:42 a.m.
Created at: April 16, 2026, 11:29 a.m.