Triple

T4341363
Position Surface form Disambiguated ID Type / Status
Subject In eminenti E97786 entity
Predicate typeOfCondemnation P42784 FINISHED
Object censure of books 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: censure of books | Statement: [In eminenti, typeOfCondemnation, censure of books]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: typeOfCondemnation
Context triple: [In eminenti, typeOfCondemnation, censure of books]
  • A. condemnation
    Indicates that an entity expresses strong disapproval or denunciation of another entity, action, or situation.
  • B. condemnedIn
    Indicates that an entity was formally denounced, sentenced, or declared guilty within a particular place, context, or proceeding.
  • C. condemnedAs
    Indicates that one entity formally or strongly denounces another entity by labeling it as wrong, guilty, or unacceptable.
  • D. condemnedBy
    Indicates that an entity is judged, denounced, or declared wrong or unacceptable by another entity.
  • E. subjectOfCondemnation chosen
    Indicates that one entity is the target or object of formal disapproval, criticism, or denunciation by another entity.
  • 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_69b34548402c819085ab68b27c235a87 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b35170a6648190a15ffb21640ee478 completed March 12, 2026, 11:51 p.m.
PD Predicate disambiguation batch_69b34f4fe1c481908d6d66e15697c04b completed March 12, 2026, 11:42 p.m.
Created at: March 12, 2026, 11:14 p.m.