Triple

T20320304
Position Surface form Disambiguated ID Type / Status
Subject Woman taken in adultery E492190 entity
Predicate appearsInVerses P11163 FINISHED
Object John 7:53–8:11 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: John 7:53–8:11 | Statement: [Woman taken in adultery, appearsInVerses, John 7:53–8:11]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: appearsInVerses
Context triple: [Woman taken in adultery, appearsInVerses, John 7:53–8:11]
  • A. hasVersesIn
    Indicates that one entity (typically a text, chapter, or section) contains or is composed of verses found within another entity (such as a book, collection, or scripture).
  • B. containsVerse
    Indicates that one entity (typically a text or collection) includes a specific verse as part of its content.
  • C. associatedWithVerse
    Indicates a relationship where something is linked or connected to a specific verse, typically in a text or scripture.
  • D. positionInScripture
    Indicates the specific location or ordering of a passage, verse, or element within a scriptural text.
  • E. inScripture chosen
    Indicates that something is mentioned, described, or referenced within a scriptural or sacred text.
  • 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_69e0b4a0134081909113563e1c3ba68a completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6778b8b648190b80badaf15be2599 completed April 20, 2026, 6:59 p.m.
PD Predicate disambiguation batch_69e5762655ac8190a8cc48a29fa2c0c4 completed April 20, 2026, 12:41 a.m.
Created at: April 16, 2026, 11:20 a.m.