Triple

T555339
Position Surface form Disambiguated ID Type / Status
Subject Gospels E11929 entity
Predicate scripturalStatus P16327 FINISHED
Object sacred scripture in Christianity 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: sacred scripture in Christianity | Statement: [Gospels, scripturalStatus, sacred scripture in Christianity]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: scripturalStatus
Context triple: [Gospels, scripturalStatus, sacred scripture in Christianity]
  • A. 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).
  • B. hasScripture
    Indicates that one entity possesses, is associated with, or is defined by a particular scripture or set of scriptural texts.
  • C. scriptureType
    Indicates the classification or category of a scripture in relation to its type or genre.
  • D. scripturalCorpus
    Indicates that one entity is a body of scriptural or sacred texts associated with, or serving as the canonical writings for, another entity.
  • E. inScripture
    Indicates that something is mentioned, described, or referenced within a scriptural or sacred text.
  • F. None of above. chosen

Provenance (4 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_69a4932941d08190815efd422f0b4ca7 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4991dd7008190a6c1bc8bc832456d completed March 1, 2026, 7:53 p.m.
PD Predicate disambiguation batch_69a494bc1f8c8190904356f3a8e801de completed March 1, 2026, 7:34 p.m.
PDg Predicate description generation batch_69a4985952a481908b918350ececf484 completed March 1, 2026, 7:49 p.m.
Created at: March 1, 2026, 7:32 p.m.