Triple

T4851068
Position Surface form Disambiguated ID Type / Status
Subject Epistle of Barnabas E108413 entity
Predicate viewOfFoodLaws P21014 FINISHED
Object interprets dietary laws as moral symbols 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: interprets dietary laws as moral symbols | Statement: [Epistle of Barnabas, viewOfFoodLaws, interprets dietary laws as moral symbols]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: viewOfFoodLaws
Context triple: [Epistle of Barnabas, viewOfFoodLaws, interprets dietary laws as moral symbols]
  • 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. viewsHalakhaAs
    Indicates that one entity regards or interprets Halakha (Jewish law) in a particular way, such as considering it authoritative, binding, flexible, or symbolic.
  • C. viewsLawAs chosen
    Indicates that one entity regards, interprets, or conceptualizes the law in a particular way or from a particular perspective.
  • D. dietaryOptions
    Indicates the types of diets or food-related preferences, restrictions, or choices that are applicable to or offered for an entity.
  • E. halachicCategory
    Indicates the classification of something according to Jewish legal (halachic) categories or rulings.
  • 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_69bd440a89548190a5f14ba6da6b97dc completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6ddd17d881909f7731ff2b460e83 completed March 20, 2026, 3:55 p.m.
PD Predicate disambiguation batch_69bd6c2557388190a2d15571bacd24f3 completed March 20, 2026, 3:47 p.m.
Created at: March 20, 2026, 1:25 p.m.