Triple

T2283329
Position Surface form Disambiguated ID Type / Status
Subject Johannine community E51328 entity
Predicate scholarlyStatus P3464 FINISHED
Object hypothetical construct inferred from texts 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: hypothetical construct inferred from texts | Statement: [Johannine community, scholarlyStatus, hypothetical construct inferred from texts]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: scholarlyStatus
Context triple: [Johannine community, scholarlyStatus, hypothetical construct inferred from texts]
  • A. isScholarly
    Indicates that an entity exhibits characteristics of academic rigor, research-based inquiry, and adherence to scholarly standards or conventions.
  • B. scholarlyView chosen
    Indicates that one entity holds an academic or research-based interpretation, opinion, or theoretical stance about another entity.
  • C. scholarlyUse
    Indicates that something is used for academic, educational, or research-related purposes.
  • D. academicStatus
    Indicates the educational or scholarly standing or level an entity holds within an academic context.
  • E. hasNotableScholar
    Indicates that an entity is associated with a scholar who is recognized as particularly distinguished or influential in relation to that 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_69a88b08e4308190bdac9aebcca1c91a completed March 4, 2026, 7:42 p.m.
NER Named-entity recognition batch_69abc21d6d748190980128c1bc5b9621 completed March 7, 2026, 6:13 a.m.
PD Predicate disambiguation batch_69abbdbb9e4c819085fc588626ec7c09 completed March 7, 2026, 5:55 a.m.
Created at: March 4, 2026, 7:48 p.m.