Triple

T899298
Position Surface form Disambiguated ID Type / Status
Subject RVR E19410 entity
Predicate scripturalCanon P11799 FINISHED
Object Protestant biblical canon 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: Protestant biblical canon | Statement: [RVR, scripturalCanon, Protestant biblical canon]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: scripturalCanon
Context triple: [RVR, scripturalCanon, Protestant biblical canon]
  • A. scripturalCorpus chosen
    Indicates that one entity is a body of scriptural or sacred texts associated with, or serving as the canonical writings for, another entity.
  • B. inChristianCanonOrder
    Indicates that the entities are arranged according to the sequence used in the Christian biblical canon.
  • C. scripturalStatus
    Indicates the relationship between a text and its recognition or classification as scriptural, canonical, or authoritative within a religious or doctrinal tradition.
  • D. scriptureType
    Indicates the classification or category of a scripture in relation to its type or genre.
  • E. 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).
  • 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_69a4939e889c8190ac148b3ac1a7f90b completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ad4162848190aa2787b2fa3e6575 completed March 1, 2026, 9:18 p.m.
PD Predicate disambiguation batch_69a4aa979d408190b17ccfde132ea628 completed March 1, 2026, 9:07 p.m.
Created at: March 1, 2026, 7:39 p.m.