Triple
T15853384
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Exodus 37 |
E384394
|
entity |
| Predicate | bookNumberInBible |
P21149
|
FINISHED |
| Object | second book (Exodus) |
—
|
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: second book (Exodus) | Statement: [Exodus 37, bookNumberInBible, second book (Exodus)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bookNumberInBible Context triple: [Exodus 37, bookNumberInBible, second book (Exodus)]
-
A.
bookNumberInNewTestament
Indicates the numerical position a specific book occupies within the sequence of books in the New Testament.
-
B.
numberInBiblicalText
Indicates that a specific number appears within, or is referenced by, a given passage or unit of biblical text.
-
C.
numberOfBiblicalBooks
Indicates the total count of books contained in a specified version or canon of the Bible.
-
D.
scripturalChapters
Indicates that one entity is composed of, contains, or is divided into the specified scriptural chapters.
-
E.
positionInBible
chosen
Indicates the specific location or order of a passage, verse, or book within the structured sequence of the Bible.
- 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_69d86da422088190aac39e32e6c68429 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e174de2cd48190ab18e48c9f051a2a |
completed | April 16, 2026, 11:46 p.m. |
| PD | Predicate disambiguation | batch_69e142b976c081908d3ba3e705419f3a |
completed | April 16, 2026, 8:12 p.m. |
Created at: April 10, 2026, 4:50 a.m.