Triple

T13487938
Position Surface form Disambiguated ID Type / Status
Subject Roman Catholic Diocese of Koper E318553 entity
Predicate hasPastoralStructures P64779 FINISHED
Object parishes 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: parishes | Statement: [Roman Catholic Diocese of Koper, hasPastoralStructures, parishes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPastoralStructures
Context triple: [Roman Catholic Diocese of Koper, hasPastoralStructures, parishes]
  • A. hasPastoralStructure chosen
    Indicates that an entity possesses or is organized according to a pastoral (shepherding or ministerial) governance or structural arrangement.
  • B. hasPastoralCenter
    Indicates that an entity possesses or is associated with a pastoral center as one of its facilities or organizational components.
  • C. usesPastoralSetting
    Indicates that the action or work is set in an idealized rural or countryside environment characteristic of pastoral themes.
  • D. hasPastoralMission
    Indicates that an entity is responsible for providing spiritual care, guidance, or religious leadership to a community or group.
  • E. farmingStructure
    Indicates that one entity is a structure or facility used for farming-related activities in relation to another 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_69d806b6bfec819089222715b2e86c8e completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaf3b9b488190bb4e11424ff599c8 completed April 12, 2026, 2:42 p.m.
PD Predicate disambiguation batch_69dbae06061881909a6a6032e0507587 completed April 12, 2026, 2:36 p.m.
Created at: April 9, 2026, 9:42 p.m.