Triple

T28656701
Position Surface form Disambiguated ID Type / Status
Subject Codex Koridethi E725352 entity
Predicate textTypeInGospelOfMark P5468 FINISHED
Object Caesarean 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: Caesarean | Statement: [Codex Koridethi, textTypeInGospelOfMark, Caesarean]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: textTypeInGospelOfMark
Context triple: [Codex Koridethi, textTypeInGospelOfMark, Caesarean]
  • A. scriptureType
    Indicates the classification or category of a scripture in relation to its type or genre.
  • B. scriptureCharacterType
    Indicates the type or role a character has within a scriptural or religious text (e.g., prophet, deity, disciple).
  • C. nameInCanonicalGospels
    Indicates that a person or entity is explicitly named in at least one of the four canonical Christian gospels (Matthew, Mark, Luke, or John).
  • D. textInKJV
    Indicates that a given text or passage appears within the King James Version (KJV) of the Bible.
  • E. textType chosen
    Indicates the classification of a text according to its type, format, or genre.
  • 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_69f01d84f5f0819087ab5e6143b14ed7 completed April 28, 2026, 2:37 a.m.
NER Named-entity recognition batch_69f6562fd3488190be1acd8c526a28d2 completed May 2, 2026, 7:53 p.m.
PD Predicate disambiguation batch_69f651ac855481908e30c3b345d31356 completed May 2, 2026, 7:34 p.m.
Created at: April 28, 2026, 4:55 a.m.