Triple

T2652106
Position Surface form Disambiguated ID Type / Status
Subject Bnei Mikra E53922 entity
Predicate viewOnOralLaw P8264 FINISHED
Object non-binding 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: non-binding | Statement: [Bnei Mikra, viewOnOralLaw, non-binding]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: viewOnOralLaw
Context triple: [Bnei Mikra, viewOnOralLaw, non-binding]
  • A. viewsHalakhaAs chosen
    Indicates that one entity regards or interprets Halakha (Jewish law) in a particular way, such as considering it authoritative, binding, flexible, or symbolic.
  • B. halakhicSource
    Indicates a relationship where one item serves as the halakhic (Jewish legal) basis, authority, or source text for another.
  • C. viewOnHadith
    Indicates a relationship where an entity holds a particular interpretive stance, opinion, or evaluative perspective regarding a specific hadith.
  • D. viewOnIjtihad
    Indicates a stance or perspective an entity holds regarding the practice or principle of ijtihad (independent legal reasoning in Islamic jurisprudence).
  • E. viewOnMoralLaw
    Indicates a subject’s stance or interpretation regarding principles of moral law or ethical rules.
  • 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_69ab495e192081909c77b622e8e7e15a completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abda0ba2208190ad87763ecbef8c3c completed March 7, 2026, 7:55 a.m.
PD Predicate disambiguation batch_69abd815d06481909535c02b0aba8553 completed March 7, 2026, 7:47 a.m.
Created at: March 6, 2026, 9:53 p.m.