Triple

T11146959
Position Surface form Disambiguated ID Type / Status
Subject Temurah E263692 entity
Predicate discussesBiblicalSource P3661 FINISHED
Object Leviticus 27:10 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: Leviticus 27:10 | Statement: [Temurah, discussesBiblicalSource, Leviticus 27:10]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: discussesBiblicalSource
Context triple: [Temurah, discussesBiblicalSource, Leviticus 27:10]
  • A. scripturalExpertise
    Indicates a relationship where one entity possesses specialized knowledge or authoritative understanding of religious scriptures in relation to another entity or context.
  • B. scripturalBasis
    Indicates that one entity serves as the religious or scriptural foundation, support, or justification for another entity (such as a belief, practice, or doctrine).
  • C. scripturalBasisDebated
    Indicates that whether this action or relationship is supported or justified by authoritative religious scriptures is a matter of dispute or disagreement.
  • D. inScripture
    Indicates that something is mentioned, described, or referenced within a scriptural or sacred text.
  • E. scripturalReference chosen
    Indicates that one entity cites, alludes to, or is based on a specific passage or portion of a scriptural text found in another 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_69d6aa9ccddc8190868998c8b7beb060 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e86e9ef48190b4df4b14319a954f completed April 9, 2026, 5:57 p.m.
PD Predicate disambiguation batch_69d75ce104908190b6cc31ef2f67846a completed April 9, 2026, 8:01 a.m.
Created at: April 8, 2026, 9:28 p.m.