Triple

T227535
Position Surface form Disambiguated ID Type / Status
Subject Epiphany E4342 entity
Predicate hasScripturalBasis P2326 FINISHED
Object Gospel of Matthew account of the Magi 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: Gospel of Matthew account of the Magi | Statement: [Epiphany, hasScripturalBasis, Gospel of Matthew account of the Magi]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasScripturalBasis
Context triple: [Epiphany, hasScripturalBasis, Gospel of Matthew account of the Magi]
  • A. scripturalBasis chosen
    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. hasViewOnScripture
    Indicates that an entity holds a particular interpretive stance or doctrinal position regarding scripture.
  • D. hasBiblicalConnection
    Indicates a relationship in which one entity is connected to another through references, themes, origins, or influences derived from the Bible.
  • E. scripturalReference
    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_69a257363ffc81909757bde7ab3404da completed Feb. 28, 2026, 2:47 a.m.
NER Named-entity recognition batch_69a25d10ac248190a98dedabf5358668 completed Feb. 28, 2026, 3:12 a.m.
PD Predicate disambiguation batch_69a25b5877588190af694d060377f027 completed Feb. 28, 2026, 3:04 a.m.
Created at: Feb. 28, 2026, 2:53 a.m.