Triple

T35754493
Position Surface form Disambiguated ID Type / Status
Subject Kvernes parish E1033405 entity
Predicate usesChurch P15000 FINISHED
Object Kvernes Church NE NERFINISHED

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: Kvernes Church | Statement: [Kvernes parish, usesChurch, Kvernes Church]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usesChurch
Context triple: [Kvernes parish, usesChurch, Kvernes Church]
  • A. hasChurch chosen
    Indicates that a place or entity possesses, contains, or is associated with a church.
  • B. withinChurch
    Indicates that one entity is located inside or contained within a church.
  • C. principalChurchOf
    Indicates that one church serves as the main or most important church associated with a particular entity, such as a region, denomination, or institution.
  • D. particularChurch
    Indicates that one entity is a specific, individual church associated with or belonging to another entity (such as a denomination, region, or organization).
  • E. motherChurch
    Indicates that one church serves as the primary, founding, or supervising church in relation to another church.
  • 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_69f76e1262f48190a313318665acc189 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69fde5d7d9548190880a9d95b8f0f66b completed May 8, 2026, 1:32 p.m.
PD Predicate disambiguation batch_69fde4e1bf9c81909754545275eccc03 completed May 8, 2026, 1:28 p.m.
Created at: May 3, 2026, 4:06 p.m.