Triple

T430912
Position Surface form Disambiguated ID Type / Status
Subject Immaculate Conception E9709 entity
Predicate oftenLinkedToBiblicalText P5309 FINISHED
Object Luke 1:28 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: Luke 1:28 | Statement: [Immaculate Conception, oftenLinkedToBiblicalText, Luke 1:28]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: oftenLinkedToBiblicalText
Context triple: [Immaculate Conception, oftenLinkedToBiblicalText, Luke 1:28]
  • A. hasBiblicalConnection
    Indicates a relationship in which one entity is connected to another through references, themes, origins, or influences derived from the Bible.
  • B. associatedBiblicalBook chosen
    Indicates that one entity is linked or connected to a specific book of the Bible as its relevant or referenced scriptural source.
  • C. 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.
  • D. scriptureAllusion
    Indicates that one entity makes reference to, echoes, or is inspired by a passage, theme, or element from a scriptural text found in another entity.
  • E. hasScripture
    Indicates that one entity possesses, is associated with, or is defined by a particular scripture or set of scriptural texts.
  • 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_69a2e801e1d48190b505d1dd336b52ac completed Feb. 28, 2026, 1:05 p.m.
NER Named-entity recognition batch_69a2eeef065c81908ed30528a61da132 completed Feb. 28, 2026, 1:34 p.m.
PD Predicate disambiguation batch_69a2edd9264c8190b92f9a50348e5541 completed Feb. 28, 2026, 1:30 p.m.
Created at: Feb. 28, 2026, 1:11 p.m.