Triple
T4922379
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hosea |
E110494
|
entity |
| Predicate | biblicalBookOrder |
P16466
|
FINISHED |
| Object | first among the Twelve in Christian Old Testament |
—
|
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: first among the Twelve in Christian Old Testament | Statement: [Hosea, biblicalBookOrder, first among the Twelve in Christian Old Testament]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: biblicalBookOrder Context triple: [Hosea, biblicalBookOrder, first among the Twelve in Christian Old Testament]
-
A.
inChristianCanonOrder
chosen
Indicates that the entities are arranged according to the sequence used in the Christian biblical canon.
-
B.
scripturalOrder
Indicates that one entity precedes another according to the sequence or arrangement prescribed in a scriptural or sacred text.
-
C.
numberOfBiblicalBooks
Indicates the total count of books contained in a specified version or canon of the Bible.
-
D.
bookNumberInNewTestament
Indicates the numerical position a specific book occupies within the sequence of books in the New Testament.
-
E.
associatedBiblicalBook
Indicates that one entity is linked or connected to a specific book of the Bible as its relevant or referenced scriptural source.
- 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_69bd4413f9908190afcff44d7929cc4c |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6ffc2ab08190992db2400562bcee |
completed | March 20, 2026, 4:04 p.m. |
| PD | Predicate disambiguation | batch_69bd6c3421588190ab08e92b9558042e |
completed | March 20, 2026, 3:48 p.m. |
Created at: March 20, 2026, 1:30 p.m.