Triple

T207992
Position Surface form Disambiguated ID Type / Status
Subject Ketuvim E4649 entity
Predicate usedInLiturgy P9871 FINISHED
Object yes 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: yes | Statement: [Ketuvim, usedInLiturgy, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usedInLiturgy
Context triple: [Ketuvim, usedInLiturgy, yes]
  • A. sacramentalUseOf
    Indicates the use of something as a sacrament or within a sacramental religious rite or practice.
  • B. liturgicalUseApprovedBy
    Indicates that the use of a liturgical text, rite, or practice has been formally authorized or approved by a specified authority.
  • C. liturgicalServices
    Indicates that one entity conducts, provides, or is associated with formal acts of public worship or religious rites for another entity or context.
  • D. liturgicalTradition
    Indicates the specific religious rite or ceremonial tradition according to which a worship service, practice, or community operates.
  • E. hasLiturgicalReading
    Indicates that a religious service, observance, or liturgical event includes or is associated with a specific prescribed reading from scripture or other sacred text.
  • 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_69a25737567c81908f9c505300239181 completed Feb. 28, 2026, 2:47 a.m.
NER Named-entity recognition batch_69a25e8b9b908190b69a3f0594b95f7e completed Feb. 28, 2026, 3:18 a.m.
PD Predicate disambiguation batch_69a25b4e3c2881908d83e8218aa9f2d9 completed Feb. 28, 2026, 3:04 a.m.
PDg Predicate description generation batch_69a25e8ade9481908d5570f6a255ee50 completed Feb. 28, 2026, 3:18 a.m.
Created at: Feb. 28, 2026, 2:51 a.m.