Triple

T26174418
Position Surface form Disambiguated ID Type / Status
Subject Rabbi Avraham Gombiner E654496 entity
Predicate areaOfHalakha P17761 FINISHED
Object Laws of prayer 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: Laws of prayer | Statement: [Rabbi Avraham Gombiner, areaOfHalakha, Laws of prayer]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: areaOfHalakha
Context triple: [Rabbi Avraham Gombiner, areaOfHalakha, Laws of prayer]
  • A. halachicSection
    Indicates a relationship where a subject is classified under, or associated with, a specific section or subdivision within halachic (Jewish legal) texts or rulings.
  • B. halachicCategory chosen
    Indicates the classification of something according to Jewish legal (halachic) categories or rulings.
  • C. inHalachicCanon
    Indicates that something is included within, recognized by, or governed according to the authoritative body of Jewish halachic (legal) texts.
  • D. halakhicDebate
    Indicates a formal religious-legal dispute or discussion over the correct interpretation or application of Jewish law between parties.
  • E. viewsHalakhaAs
    Indicates that one entity regards or interprets Halakha (Jewish law) in a particular way, such as considering it authoritative, binding, flexible, or symbolic.
  • 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_69ee5b45873c81909499203612d05d07 completed April 26, 2026, 6:36 p.m.
NER Named-entity recognition batch_69f60c6a8fac81908d0cf663782b0b84 completed May 2, 2026, 2:38 p.m.
PD Predicate disambiguation batch_69f5f7fd90fc81909055b211368f9139 completed May 2, 2026, 1:11 p.m.
Created at: April 26, 2026, 8:37 p.m.