Triple

T3035492
Position Surface form Disambiguated ID Type / Status
Subject Roman Catholic Diocese of Nice E82997 entity
Predicate hasLayMinisters P45133 FINISHED
Object lay pastoral workers 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: lay pastoral workers | Statement: [Roman Catholic Diocese of Nice, hasLayMinisters, lay pastoral workers]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasLayMinisters
Context triple: [Roman Catholic Diocese of Nice, hasLayMinisters, lay pastoral workers]
  • A. hasNumberOfMinisters
    Indicates the specific count of ministers associated with an entity, such as a government, cabinet, or organization.
  • B. hasMinister
    Indicates that one entity serves as the minister (political, religious, or administrative official) responsible for or associated with another entity.
  • C. hasMinisterialSeat
    Indicates that a governmental or administrative body holds its official ministerial seat or headquarters at a particular location.
  • D. hasMinisterialPortfolios
    Indicates that a person holds one or more official ministerial roles or portfolios within a government or similar authority.
  • E. hasMinisterTitle
    Indicates that an entity holds or is associated with a specific ministerial title or office.
  • F. None of above. chosen

Provenance (4 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_69ad8b2298908190a7cb4e9bdbf064d0 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9b2bb60c8190b1721f832f2581a1 completed March 8, 2026, 3:52 p.m.
PD Predicate disambiguation batch_69ad961e2a408190afb1759132701305 completed March 8, 2026, 3:30 p.m.
PDg Predicate description generation batch_69ad97ba55dc8190b6dddddfb751cf64 completed March 8, 2026, 3:37 p.m.
Created at: March 8, 2026, 3:01 p.m.