Triple

T16198015
Position Surface form Disambiguated ID Type / Status
Subject Rabbi Tarfon E393117 entity
Predicate halakhicDomain P17761 FINISHED
Object laws of marriage and divorce 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 marriage and divorce | Statement: [Rabbi Tarfon, halakhicDomain, laws of marriage and divorce]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: halakhicDomain
Context triple: [Rabbi Tarfon, halakhicDomain, laws of marriage and divorce]
  • 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. halakhicSource
    Indicates a relationship where one item serves as the halakhic (Jewish legal) basis, authority, or source text for another.
  • D. halakhicStatus
    Indicates the formal standing or classification of an entity according to Jewish law (halakha), especially in terms of what is religiously permitted, required, or prohibited.
  • E. halakhicApproach
    Indicates an entity’s method, stance, or interpretive framework for applying or understanding Jewish law (halakha) in practice.
  • 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_69d87f1e49ac8190a311b54d32990576 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e222dc6b1c8190a3d8a6451ed8b95a completed April 17, 2026, 12:09 p.m.
PD Predicate disambiguation batch_69e219e11f6081909106b1240a17fd37 completed April 17, 2026, 11:30 a.m.
Created at: April 10, 2026, 5:03 a.m.