Triple

T2168400
Position Surface form Disambiguated ID Type / Status
Subject Evangelical Church in Central Germany E46963 entity
Predicate hasLaityOrganization P3093 FINISHED
Object church congregations 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: church congregations | Statement: [Evangelical Church in Central Germany, hasLaityOrganization, church congregations]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasLaityOrganization
Context triple: [Evangelical Church in Central Germany, hasLaityOrganization, church congregations]
  • A. hasReligiousOrganization
    Indicates that an entity is associated with, governed by, or belongs to a specific religious organization.
  • B. hasClergy
    Indicates that an organization or institution possesses or is served by members of the clergy.
  • C. hasLayMinistry chosen
    Indicates that an entity participates in or is associated with a lay (non-ordained) ministry role or service within a religious context.
  • D. hasCivicOrganization
    Indicates that an entity is associated with, supported by, or contains a civic organization, such as a community, volunteer, or public-interest group.
  • E. hasViewOnLaity
    Indicates that one entity holds a particular stance, opinion, or doctrinal position regarding the role or nature of laypeople.
  • 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_69a88a184cbc8190877791f6552c2484 completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abc1559ff481908efe3f214b2570dc completed March 7, 2026, 6:10 a.m.
PD Predicate disambiguation batch_69abbd9efc1c81909a65044a1ffc9038 completed March 7, 2026, 5:54 a.m.
Created at: March 4, 2026, 7:45 p.m.