Triple

T4918264
Position Surface form Disambiguated ID Type / Status
Subject Leviticus 19 E110398 entity
Predicate literaryUnitOf P18697 FINISHED
Object Priestly source tradition (according to many scholars) 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: Priestly source tradition (according to many scholars) | Statement: [Leviticus 19, literaryUnitOf, Priestly source tradition (according to many scholars)]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: literaryUnitOf
Context triple: [Leviticus 19, literaryUnitOf, Priestly source tradition (according to many scholars)]
  • A. literaryUnit chosen
    Indicates that one entity is a distinct segment or component (such as a chapter, scene, or passage) within a larger literary work or text.
  • B. literaryWorkInStory
    Indicates that one literary work is referenced, featured, or embedded within the narrative of another story.
  • C. literaryUniverse
    Indicates that two or more works of literature exist within the same fictional universe or continuity, sharing settings, characters, or canonical events.
  • D. literarySubject
    Indicates that one entity serves as the subject, topic, or focus of a literary work created by another entity.
  • E. literaryCollection
    Indicates that one entity is a collection or compilation of literary works that includes or is associated with the other entity.
  • 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_69bd4413f9908190afcff44d7929cc4c completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6fa760448190946401b4b21ea8b7 completed March 20, 2026, 4:02 p.m.
PD Predicate disambiguation batch_69bd6c3421588190ab08e92b9558042e completed March 20, 2026, 3:48 p.m.
Created at: March 20, 2026, 1:29 p.m.