Triple

T4768448
Position Surface form Disambiguated ID Type / Status
Subject Psalm 89 E105867 entity
Predicate canonicalNumberingInMostEnglishBibles P58657 FINISHED
Object 89 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: 89 | Statement: [Psalm 89, canonicalNumberingInMostEnglishBibles, 89]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: canonicalNumberingInMostEnglishBibles
Context triple: [Psalm 89, canonicalNumberingInMostEnglishBibles, 89]
  • A. numberInBiblicalText
    Indicates that a specific number appears within, or is referenced by, a given passage or unit of biblical text.
  • B. inChristianCanonOrder
    Indicates that the entities are arranged according to the sequence used in the Christian biblical canon.
  • C. numberOfBiblicalBooks
    Indicates the total count of books contained in a specified version or canon of the Bible.
  • D. numberOfCanonicalGospels
    Indicates the count of canonical gospels associated with a given religious tradition or context.
  • E. bookNumberInNewTestament
    Indicates the numerical position a specific book occupies within the sequence of books in the New Testament.
  • 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_69bd43f226fc8190b867cc249c2a9042 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6537eb80819096e0ae906c59d605 completed March 20, 2026, 3:18 p.m.
PD Predicate disambiguation batch_69bd6229d8448190a271719e5e30fd82 completed March 20, 2026, 3:05 p.m.
PDg Predicate description generation batch_69bd6508e218819086a36236cfa4a249 completed March 20, 2026, 3:17 p.m.
Created at: March 20, 2026, 1:21 p.m.