Triple

T4788937
Position Surface form Disambiguated ID Type / Status
Subject Shabbat Zachor E106552 entity
Predicate haftarahTheme P25955 FINISHED
Object war against Amalek 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: war against Amalek | Statement: [Shabbat Zachor, haftarahTheme, war against Amalek]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: haftarahTheme
Context triple: [Shabbat Zachor, haftarahTheme, war against Amalek]
  • A. themedAs
    Indicates that something is characterized, styled, or organized according to a particular theme or motif.
  • B. themeFor chosen
    Indicates that something serves as the central subject, topic, or focus for another thing (such as an event, work, or activity).
  • C. themeInRabbinicLiterature
    Indicates that a particular theme, concept, or motif is discussed, developed, or treated within rabbinic literature.
  • D. prophecyTheme
    Indicates that the relationship or action centers on the theme, content, or subject matter of a prophecy.
  • E. artisticTheme
    Indicates the central artistic subject, concept, or motif that characterizes or is expressed by a creative work.
  • 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_69bd43f4a9588190bf73e20bc27c03cc completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd65db847081908f5456724a2bdc65 completed March 20, 2026, 3:20 p.m.
PD Predicate disambiguation batch_69bd622e1b408190806c15c61519fc74 completed March 20, 2026, 3:05 p.m.
Created at: March 20, 2026, 1:22 p.m.