Triple

T4665992
Position Surface form Disambiguated ID Type / Status
Subject Bnei Brak E102846 entity
Predicate hasKosherStandard P56960 FINISHED
Object strict kosher supervision in businesses 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: strict kosher supervision in businesses | Statement: [Bnei Brak, hasKosherStandard, strict kosher supervision in businesses]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasKosherStandard
Context triple: [Bnei Brak, hasKosherStandard, strict kosher supervision in businesses]
  • A. hasDietaryLaw
    Indicates that one entity prescribes, follows, or is governed by a specific set of dietary rules or restrictions associated with another entity.
  • B. 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.
  • C. hasCertificationStandard chosen
    Indicates that an entity complies with, or is associated with, a specific certification standard.
  • D. isStandardOf
    Indicates that something serves as the recognized norm, reference, or benchmark by which another thing is defined, measured, or evaluated.
  • E. isStandard
    Indicates that something conforms to an established norm, specification, or commonly accepted rule.
  • 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_69bd43d9cba4819086c1ab1c2d9d2133 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd655aceb081908100ffc0498fe183 completed March 20, 2026, 3:18 p.m.
PD Predicate disambiguation batch_69bd6215864c8190b50ba0f63ba87d0c completed March 20, 2026, 3:04 p.m.
Created at: March 20, 2026, 1:15 p.m.