Triple

T1237596
Position Surface form Disambiguated ID Type / Status
Subject Roman Catholic biblical canon E26582 entity
Predicate numberOfNewTestamentBooks P24846 FINISHED
Object 27 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: 27 | Statement: [Roman Catholic biblical canon, numberOfNewTestamentBooks, 27]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: numberOfNewTestamentBooks
Context triple: [Roman Catholic biblical canon, numberOfNewTestamentBooks, 27]
  • A. bookNumberInNewTestament
    Indicates the numerical position a specific book occupies within the sequence of books in the New Testament.
  • B. numberOfCanonicalGospels
    Indicates the count of canonical gospels associated with a given religious tradition or context.
  • C. textBasisNewTestament
    Indicates that a text is based on, derived from, or grounded in the New Testament.
  • D. newTestamentPublishedIn
    Indicates that a specific edition or version of the New Testament was published in a particular place, time, or publication context.
  • E. newTestamentFirstPublishedYear
    Indicates the year in which the New Testament was first published or made publicly available.
  • 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_69a4948571c88190a9191e451e6035fd completed March 1, 2026, 7:33 p.m.
NER Named-entity recognition batch_69a4bf3f07c08190a402e8341c1f38cc completed March 1, 2026, 10:35 p.m.
PD Predicate disambiguation batch_69a4bb67d52c8190815d6356b79d6ed5 completed March 1, 2026, 10:19 p.m.
PDg Predicate description generation batch_69a4bbf83584819088c69366f58586cc completed March 1, 2026, 10:21 p.m.
Created at: March 1, 2026, 7:47 p.m.