Triple

T26105948
Position Surface form Disambiguated ID Type / Status
Subject Sacraments of the Sick E658534 entity
Predicate pastoralGoal P161259 FINISHED
Object affirm Christian hope in resurrection 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: affirm Christian hope in resurrection | Statement: [Sacraments of the Sick, pastoralGoal, affirm Christian hope in resurrection]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: pastoralGoal
Context triple: [Sacraments of the Sick, pastoralGoal, affirm Christian hope in resurrection]
  • A. pastoralPurpose
    Indicates that something is intended or designated for pastoral use, care, or ministry within a religious or spiritual context.
  • B. pastoralActivities
    Indicates activities related to providing spiritual care, guidance, or religious leadership within a community.
  • C. usesPastoralSetting
    Indicates that the action or work is set in an idealized rural or countryside environment characteristic of pastoral themes.
  • D. hasPastoralPlanFor
    Indicates that an entity has established or adopted a pastoral plan specifically directed toward another entity or context.
  • E. breedingGoal
    Indicates that one entity is the intended objective or target outcome of a breeding process involving another entity.
  • 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_69ee5bc09c288190bc42a11972841383 completed April 26, 2026, 6:38 p.m.
NER Named-entity recognition batch_69f6135293908190809e255bf6334760 completed May 2, 2026, 3:08 p.m.
PD Predicate disambiguation batch_69f611a9272881909093360472be832c completed May 2, 2026, 3 p.m.
PDg Predicate description generation batch_69f6125e54e0819088ee33a20efcc9e6 completed May 2, 2026, 3:03 p.m.
Created at: April 26, 2026, 7:58 p.m.