Triple

T2456452
Position Surface form Disambiguated ID Type / Status
Subject Church of Norway E54432 entity
Predicate hasScripture P5605 FINISHED
Object Bible E695 NE 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: Bible | Statement: [Church of Norway, hasScripture, Bible]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bible
Context triple: [Church of Norway, hasScripture, Bible]
  • A. Bible chosen
    The Bible is the central sacred scripture of Christianity, comprising the Old and New Testaments and serving as the foundational text for Christian belief and practice.
  • B. Ga Bible
    Ga Bible is the Christian scriptures translated into the Ga language, used by Ga-speaking communities for worship, study, and religious instruction.
  • C. Word of God
    The Word of God is a Christological title that identifies Jesus Christ as the divine self-revelation and ultimate expression of God’s will and truth.
  • D. Gospels
    The Gospels are the New Testament books that narrate the life, teachings, death, and resurrection of Jesus Christ.
  • E. Exposition of the Old and New Testaments
    Exposition of the Old and New Testaments is an extensive 18th-century Calvinist Bible commentary by theologian John Gill, covering every book of Scripture with detailed verse-by-verse analysis.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69ab49dee84c819096b50a0049c347ac completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd106f4608190ae17ddbd24fad97e completed March 7, 2026, 7:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69aef0ca655c81908612983ced5f5786 completed March 9, 2026, 4:09 p.m.
Created at: March 6, 2026, 9:44 p.m.