Triple

T235744
Position Surface form Disambiguated ID Type / Status
Subject Encyclopédie E4820 entity
Predicate censorship P1050 FINISHED
Object banned by the French government in 1759 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: banned by the French government in 1759 | Statement: [Encyclopédie, censorship, banned by the French government in 1759]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: censorship
Context triple: [Encyclopédie, censorship, banned by the French government in 1759]
  • A. restriction chosen
    Indicates a limiting condition or rule that constrains or controls what an entity can do, use, or access in relation to another entity or context.
  • B. controversy
    Indicates a situation in which there is active disagreement, dispute, or public debate between parties over a particular issue, action, or claim.
  • C. usedInPropaganda
    Indicates that something is employed as a tool or element within propaganda efforts to influence opinions or behavior.
  • D. politicalRepercussion
    Indicates that an action, event, or decision leads to consequences or fallout within a political context, such as shifts in power, public opinion, or policy.
  • E. criticizedFor
    Indicates that one entity expresses disapproval or negative judgment of another entity specifically because of a particular action, quality, or outcome.
  • 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_69a257c3d0708190b0871c4269d273e6 completed Feb. 28, 2026, 2:49 a.m.
NER Named-entity recognition batch_69a25ccab7648190be6e4f5febc1e313 completed Feb. 28, 2026, 3:11 a.m.
PD Predicate disambiguation batch_69a25b5dc640819092669575731c393f completed Feb. 28, 2026, 3:05 a.m.
Created at: Feb. 28, 2026, 2:53 a.m.