Triple

T13545244
Position Surface form Disambiguated ID Type / Status
Subject North American Lutheran churches E323491 entity
Predicate clergyOffice P87718 FINISHED
Object pastor 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: pastor | Statement: [North American Lutheran churches, clergyOffice, pastor]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: clergyOffice
Context triple: [North American Lutheran churches, clergyOffice, pastor]
  • A. clergySystem
    Indicates a relationship in which an organized religious institution or tradition has a structured system of clergy roles, ranks, or offices.
  • B. clergyCan
    Indicates that members of the clergy are permitted or authorized to perform a specified action or exercise a particular role or function.
  • C. clergy chosen
    Indicates that an entity serves in an official religious or spiritual leadership role within an organized faith or religious institution.
  • D. clergyIncardination
    Indicates that a member of the clergy is formally attached or assigned to a particular diocese, religious institute, or ecclesiastical jurisdiction.
  • E. clergyView
    Indicates that a member of the clergy holds a particular opinion, perspective, or evaluative stance toward something.
  • 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_69d8076776248190bdf0d4fa1f85a5fc completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbbb9ee3f081909056dc1a92c40b7a completed April 12, 2026, 3:34 p.m.
PD Predicate disambiguation batch_69dbae13bec4819084c1770638c00ed9 completed April 12, 2026, 2:37 p.m.
Created at: April 9, 2026, 9:45 p.m.