Triple

T993948
Position Surface form Disambiguated ID Type / Status
Subject Council of Trent E21452 entity
Predicate prescribedReform P4888 FINISHED
Object seminaries for priestly training 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: seminaries for priestly training | Statement: [Council of Trent, prescribedReform, seminaries for priestly training]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: prescribedReform
Context triple: [Council of Trent, prescribedReform, seminaries for priestly training]
  • A. reform chosen
    Indicates bringing about significant changes to an existing system, practice, or entity in order to improve or correct it.
  • B. scriptAfterReform
    Indicates that one script or writing system is used after a reform or modification has been applied to another script.
  • C. notableReform
    Indicates that an entity is recognized for having initiated, led, or been central to a significant reform or transformative change in a system, policy, or institution.
  • D. postReformDevelopment
    Indicates the development or changes that occur after a reform has been implemented.
  • E. positionOnReform
    Indicates a stance or viewpoint that an entity holds regarding a particular reform or set of reforms.
  • 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_69a493c476b48190b41fc5e793171cc6 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b4c5e16881908cd5f7ba2fcd5084 completed March 1, 2026, 9:51 p.m.
PD Predicate disambiguation batch_69a4b2af071c819086c374a16307dfe0 completed March 1, 2026, 9:42 p.m.
Created at: March 1, 2026, 7:41 p.m.