Triple

T19361141
Position Surface form Disambiguated ID Type / Status
Subject Temurah textual tradition E484281 entity
Predicate relatedHermeneutic P128816 FINISHED
Object Gematria 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: Gematria | Statement: [Temurah textual tradition, relatedHermeneutic, Gematria]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: relatedHermeneutic
Context triple: [Temurah textual tradition, relatedHermeneutic, Gematria]
  • A. scripturalAllusion
    Indicates that one entity references, echoes, or draws upon content, themes, or language from a scriptural or sacred text in relation to another entity.
  • B. relatedPass
    Indicates that one pass is associated with or connected to another pass in some relevant way.
  • C. theologicalInterpretation
    Indicates a relationship where an event, text, or phenomenon is understood or explained through religious or doctrinal beliefs and principles.
  • D. relevanceToBiblicalStudies chosen
    Indicates that something has significance, usefulness, or meaningful connection to the study, interpretation, or understanding of the Bible and related scholarship.
  • E. intertextualRelation
    Indicates a relationship in which one text references, echoes, or otherwise meaningfully connects to another text.
  • 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_69d8e8d305088190ad13571532aa454c completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e6190c2a8081908f48dfa738248ec8 completed April 20, 2026, 12:16 p.m.
PD Predicate disambiguation batch_69e4fd54f8e48190956e73dd8969164a completed April 19, 2026, 4:05 p.m.
Created at: April 10, 2026, 1:34 p.m.