Triple

T10644227
Position Surface form Disambiguated ID Type / Status
Subject Diocese of Dublin and Glendalough E250797 entity
Predicate hasLayRepresentation P39405 FINISHED
Object diocesan synod lay members 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: diocesan synod lay members | Statement: [Diocese of Dublin and Glendalough, hasLayRepresentation, diocesan synod lay members]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasLayRepresentation
Context triple: [Diocese of Dublin and Glendalough, hasLayRepresentation, diocesan synod lay members]
  • A. hasLayBody chosen
    Indicates that an entity possesses or is associated with a lay (non-clerical or non-professional) governing or decision-making body.
  • B. hasLayOrder
    Indicates that one entity has issued, received, or is subject to a formal lay order associated with another entity.
  • C. hasLayOffice
    Indicates that an individual holds or has held a non-ordained (lay) official position or role within an organization or institution.
  • D. hasRepresentationIn
    Indicates that one entity is represented, depicted, or encoded within another entity, such as a concept, object, or data structure having a corresponding representation in a specific medium or context.
  • E. hasLayMembersCount
    Indicates the number of lay (non-clergy or non-professional) members associated with an 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_69d6aa5a4c4881908f39be6efe5981e5 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6dfd04ca88190ac4fffd13c1f33a8 completed April 8, 2026, 11:08 p.m.
PD Predicate disambiguation batch_69d6dd83b114819098e84dc658e82d7e completed April 8, 2026, 10:58 p.m.
Created at: April 8, 2026, 9:05 p.m.