Triple

T33926380
Position Surface form Disambiguated ID Type / Status
Subject Beschlüsse der Landessynode der Evangelischen Landeskirche in Württemberg E869762 entity
Predicate Themenbereich P28568 FINISHED
Object Kirchenrecht 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: Kirchenrecht | Statement: [Beschlüsse der Landessynode der Evangelischen Landeskirche in Württemberg, Themenbereich, Kirchenrecht]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: Themenbereich
Context triple: [Beschlüsse der Landessynode der Evangelischen Landeskirche in Württemberg, Themenbereich, Kirchenrecht]
  • A. thematicArea chosen
    Indicates the subject or item is associated with, or falls under, a particular thematic area or topic of focus.
  • B. topicOfDiscourse
    Indicates that something serves as the subject or focus of a particular discussion, conversation, or communicative act.
  • C. topicOfDialogue
    Indicates that a particular subject or theme is the main focus of a dialogue or conversation between entities.
  • D. coreCategory
    Indicates that one entity is the primary or fundamental category to which another entity belongs or is classified under.
  • E. categoryFocus
    Indicates that one entity is the primary subject, theme, or focal point within the broader category defined by the other entity.
  • 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_69f349992c508190aa4afa24a086cc8c completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f70b966860819089cf92927f47c5f1 completed May 3, 2026, 8:47 a.m.
PD Predicate disambiguation batch_69f70abe43e08190b2a30930d96247c1 completed May 3, 2026, 8:43 a.m.
Created at: May 1, 2026, 1:49 a.m.