Triple

T24630574
Position Surface form Disambiguated ID Type / Status
Subject Government Administration, Reform and Church Affairs of Norway E609659 entity
Predicate religiousAffairsScope P52189 FINISHED
Object Lutheran state church 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: Lutheran state church | Statement: [Government Administration, Reform and Church Affairs of Norway, religiousAffairsScope, Lutheran state church]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: religiousAffairsScope
Context triple: [Government Administration, Reform and Church Affairs of Norway, religiousAffairsScope, Lutheran state church]
  • A. religiousTopicAddressed
    Indicates that a subject deals with, discusses, or focuses on a religious theme, issue, or question.
  • B. religiousSpectrum
    Indicates a relationship that places entities along a range or continuum of religious belief, practice, or affiliation.
  • C. subjectReligion chosen
    Indicates that the subject is associated with, practices, or adheres to a particular religion.
  • D. religionOrBelief
    Indicates that one entity holds, practices, or is associated with a particular religion, faith, or belief system.
  • E. religiousScholarship
    Indicates a relationship where an entity provides or is associated with financial or institutional support specifically for religious study or education.
  • 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_69e2c4d1d3708190a0f2dc6a3a8523bb completed April 17, 2026, 11:40 p.m.
NER Named-entity recognition batch_69f2be044d4c819094e14eda28d371a7 completed April 30, 2026, 2:27 a.m.
PD Predicate disambiguation batch_69f2a6d0ab708190b2e3b94dd20ca76b completed April 30, 2026, 12:48 a.m.
Created at: April 18, 2026, 2:32 a.m.