Triple

T4944433
Position Surface form Disambiguated ID Type / Status
Subject Shekel ha-Kodesh E111012 entity
Predicate religiousLiterature P34765 FINISHED
Object Jewish esoteric literature 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: Jewish esoteric literature | Statement: [Shekel ha-Kodesh, religiousLiterature, Jewish esoteric literature]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: religiousLiterature
Context triple: [Shekel ha-Kodesh, religiousLiterature, Jewish esoteric literature]
  • A. religiousTextOf
    Indicates that one entity is a religious text that is sacred to, foundational for, or primarily associated with another entity (such as a religion, denomination, or faith community).
  • B. religiousTextTradition chosen
    Indicates that a religious text is associated with, originates from, or is authoritative within a particular religious tradition or denomination.
  • C. religiousElement
    Indicates that something is a component, aspect, or feature associated with a religion or religious practice.
  • D. religiousScholarship
    Indicates a relationship where an entity provides or is associated with financial or institutional support specifically for religious study or education.
  • E. authorsReligion
    Indicates the religious affiliation or belief system associated with an author.
  • 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_69bd441721cc819085c7e33fe0876818 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd70a8e5388190882831d7828441d3 completed March 20, 2026, 4:07 p.m.
PD Predicate disambiguation batch_69bd6c3aa1388190b3e0c8ee1ba1e4fa completed March 20, 2026, 3:48 p.m.
Created at: March 20, 2026, 1:31 p.m.