Triple

T1950502
Position Surface form Disambiguated ID Type / Status
Subject NRSVue E42145 entity
Predicate aimsForLiturgicalUse P33450 FINISHED
Object true 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: true | Statement: [NRSVue, aimsForLiturgicalUse, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: aimsForLiturgicalUse
Context triple: [NRSVue, aimsForLiturgicalUse, true]
  • A. includesLiturgicalUse
    Indicates that something encompasses or involves use within a liturgical or formal religious worship context.
  • B. liturgicalUsage
    Indicates how something is used, practiced, or functions within a specific liturgical or worship context.
  • C. liturgicalUseApprovedBy
    Indicates that the use of a liturgical text, rite, or practice has been formally authorized or approved by a specified authority.
  • D. usedInLiturgy
    Indicates that something is employed or incorporated as part of a formal religious liturgy or worship service.
  • E. usesAlsoLiturgy
    Indicates that an entity additionally employs or follows a particular liturgy alongside its primary or other liturgical practices.
  • 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_69a8870e08fc8190a319cbf2600db15f completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb332b014819085bfc88d66cfc10a completed March 7, 2026, 5:10 a.m.
PD Predicate disambiguation batch_69abaff3eda88190b643994cb4dfb8df completed March 7, 2026, 4:56 a.m.
PDg Predicate description generation batch_69abb1ddccbc8190bf2bd8bac673c0c5 completed March 7, 2026, 5:04 a.m.
Created at: March 4, 2026, 7:36 p.m.