Triple

T33054257
Position Surface form Disambiguated ID Type / Status
Subject Shemitah E845806 entity
Predicate statusIn P127 FINISHED
Object rabbinic in contemporary practice 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: rabbinic in contemporary practice | Statement: [Shemitah, statusIn, rabbinic in contemporary practice]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: statusIn
Context triple: [Shemitah, statusIn, rabbinic in contemporary practice]
  • A. status chosen
    Indicates the current condition, state, or standing of an entity within a given context.
  • B. statusInSI
    Indicates that an entity’s status or condition is specified according to the International System of Units (SI) or an SI-based standard.
  • C. statusIncludes
    Indicates that one entity’s status set contains or encompasses the status (or statuses) of another entity.
  • D. statusInText
    Indicates that the text explicitly states or conveys the status or condition of an entity.
  • E. statusIndicates
    Indicates that a particular status value conveys or reflects the current condition, state, or situation of an entity or process.
  • 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_69f3495242e48190996a2cb2beab5455 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69fed09a12648190affcd9bacf7ca275 completed May 9, 2026, 6:13 a.m.
PD Predicate disambiguation batch_69fecf91d6f481908deb60c965c433ed completed May 9, 2026, 6:09 a.m.
Created at: May 1, 2026, 1:24 a.m.