Triple

T582141
Position Surface form Disambiguated ID Type / Status
Subject Ten Days of Repentance E15080 entity
Predicate liturgicalChange P6835 FINISHED
Object insertions in the Amidah 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: insertions in the Amidah | Statement: [Ten Days of Repentance, liturgicalChange, insertions in the Amidah]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: liturgicalChange
Context triple: [Ten Days of Repentance, liturgicalChange, insertions in the Amidah]
  • A. liturgicalTradition
    Indicates the specific religious rite or ceremonial tradition according to which a worship service, practice, or community operates.
  • B. liturgicalSeasonVariation chosen
    Indicates that something changes or differs depending on the liturgical season within a religious calendar or worship cycle.
  • C. liturgicalTheme
    Indicates the religious or worship-related theme that characterizes or frames a liturgical action, text, or event.
  • D. liturgicalUsage
    Indicates how something is used, practiced, or functions within a specific liturgical or worship context.
  • E. liturgicalServices
    Indicates that one entity conducts, provides, or is associated with formal acts of public worship or religious rites for another entity or context.
  • 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_69a4935783b8819082b77726ec10cc42 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a49b85becc8190b4d98c00e5fa7c04 completed March 1, 2026, 8:03 p.m.
PD Predicate disambiguation batch_69a494c7f9008190bd8d05b4dc2a7c7f completed March 1, 2026, 7:34 p.m.
Created at: March 1, 2026, 7:33 p.m.