Triple

T19919021
Position Surface form Disambiguated ID Type / Status
Subject First Brazilian Republic E478738 entity
Predicate religionStateRelation P22562 FINISHED
Object separation of church and state 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: separation of church and state | Statement: [First Brazilian Republic, religionStateRelation, separation of church and state]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: religionStateRelation
Context triple: [First Brazilian Republic, religionStateRelation, separation of church and state]
  • A. roleInStateReligion
    Indicates that an entity holds a specific function, position, or involvement within the officially recognized religion of a state.
  • B. churchStateRelation chosen
    Indicates the nature or degree of interaction, separation, or influence between religious institutions and governmental authority.
  • C. legalStatusOfReligion
    Indicates the formal legal standing, recognition, and regulatory conditions of a religion within a given jurisdiction or political entity.
  • D. positionOnStateReligion
    Indicates a stance or viewpoint regarding the role, status, or legitimacy of an official state religion.
  • E. religionInCountry
    Indicates that a particular religion is practiced, present, or recognized within a specified country.
  • 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_69d8e521855c8190b41871700afc8d6a completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e659c3d990819089386d9f30323e8c completed April 20, 2026, 4:52 p.m.
PD Predicate disambiguation batch_69e537f070b481908958e0e5911dcdc1 completed April 19, 2026, 8:15 p.m.
Created at: April 10, 2026, 1:53 p.m.