Triple

T318159
Position Surface form Disambiguated ID Type / Status
Subject Bavaria E7752 entity
Predicate hasOfficialReligionStatus P6259 FINISHED
Object no official state religion 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: no official state religion | Statement: [Bavaria, hasOfficialReligionStatus, no official state religion]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasOfficialReligionStatus
Context triple: [Bavaria, hasOfficialReligionStatus, no official state religion]
  • A. legalStatusOfReligion chosen
    Indicates the formal legal standing, recognition, and regulatory conditions of a religion within a given jurisdiction or political entity.
  • B. officialReligion
    Indicates that a particular religion is formally recognized and designated as the official or state religion of an entity (such as a country or region).
  • C. dominantReligionPolicy
    Indicates the policy or stance an authority adopts toward the religion that holds dominant or majority status within a given context.
  • D. dominantReligion
    Indicates the religion that holds primary or majority status within a given group, region, or entity.
  • E. religiousStatus
    Indicates the religious affiliation, role, or standing that an entity holds within a religious context.
  • 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_69a2e7e7af7881908890039d6be4e9b8 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2eb7df63c8190b7cd1bcfdfd96187 completed Feb. 28, 2026, 1:19 p.m.
PD Predicate disambiguation batch_69a2e94513ec819089f5177f7a521e65 completed Feb. 28, 2026, 1:10 p.m.
Created at: Feb. 28, 2026, 1:08 p.m.