Triple

T36471254
Position Surface form Disambiguated ID Type / Status
Subject post‑conciliar Roman Ritual E898543 entity
Predicate reflectsReformsOf P105600 FINISHED
Object Second Vatican Council NE NERFINISHED

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: Second Vatican Council | Statement: [post‑conciliar Roman Ritual, reflectsReformsOf, Second Vatican Council]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: reflectsReformsOf
Context triple: [post‑conciliar Roman Ritual, reflectsReformsOf, Second Vatican Council]
  • A. reformsBy
    Indicates that one entity initiates, implements, or is responsible for changes or improvements (reforms) affecting another entity.
  • B. associatedReforms chosen
    Indicates a relationship where certain reforms are linked or connected to a given entity, such as a policy, event, or individual.
  • C. reformInfluencedBy
    Indicates that a reform was shaped, guided, or significantly affected by another person, idea, event, or reform.
  • D. subjectToReformBy
    Indicates that an entity is undergoing or designated for changes, improvements, or restructuring carried out by another entity.
  • E. viewsReformsAs
    Indicates that one entity regards or interprets certain reforms in a particular way (e.g., as positive, negative, necessary, or harmful).
  • 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_69f76e58ebd88190b75d9b169b59d793 completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69f7be9d07ac8190adf796cbef60daf6 completed May 3, 2026, 9:31 p.m.
PD Predicate disambiguation batch_69f7bccf05bc8190b61fdb2b2a315811 completed May 3, 2026, 9:23 p.m.
Created at: May 3, 2026, 4:10 p.m.