Triple
T28656703
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Codex Koridethi |
E725352
|
entity |
| Predicate | textTypeInGospelOfLuke |
P165771
|
FINISHED |
| Object | mixed text |
—
|
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: mixed text | Statement: [Codex Koridethi, textTypeInGospelOfLuke, mixed text]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: textTypeInGospelOfLuke Context triple: [Codex Koridethi, textTypeInGospelOfLuke, mixed text]
-
A.
chapterNumberInLuke
Indicates the chapter number that a referenced passage or event appears in within the Book of Luke.
-
B.
scriptureType
Indicates the classification or category of a scripture in relation to its type or genre.
-
C.
scriptureCharacterType
Indicates the type or role a character has within a scriptural or religious text (e.g., prophet, deity, disciple).
-
D.
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).
-
E.
textInKJV
Indicates that a given text or passage appears within the King James Version (KJV) of the Bible.
- 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_69f01d84f5f0819087ab5e6143b14ed7 |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69f65b14512c8190a40e70319dcc54cd |
completed | May 2, 2026, 8:14 p.m. |
| PD | Predicate disambiguation | batch_69f659ce58408190ba9e007b4810d4d0 |
completed | May 2, 2026, 8:08 p.m. |
| PDg | Predicate description generation | batch_69f65a6babcc81908052c9907a99c882 |
completed | May 2, 2026, 8:11 p.m. |
Created at: April 28, 2026, 4:55 a.m.