Triple
T5725221
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Book of Zephaniah |
E126248
|
entity |
| Predicate | canonicalOrderHebrewBible |
P5479
|
FINISHED |
| Object | ninth of the Twelve |
—
|
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: ninth of the Twelve | Statement: [Book of Zephaniah, canonicalOrderHebrewBible, ninth of the Twelve]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canonicalOrderHebrewBible Context triple: [Book of Zephaniah, canonicalOrderHebrewBible, ninth of the Twelve]
-
A.
positionInHebrewBible
Indicates the ordinal position that something occupies within the canonical sequence of books or passages in the Hebrew Bible.
-
B.
inChristianCanonOrder
Indicates that the entities are arranged according to the sequence used in the Christian biblical canon.
-
C.
canonicalNumberingInMostEnglishBibles
Indicates that the entity is ordered or numbered according to the standard canonical sequence used in most English-language Bibles.
-
D.
positionInTanakh
chosen
Indicates the relative location or ordering of a text or passage within the canonical structure of the Tanakh.
-
E.
scripturalOrder
Indicates that one entity precedes another according to the sequence or arrangement prescribed in a scriptural or sacred text.
- 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_69c0082f723881908ce8bb13a0c0f8b7 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c029014588819094a2a0f6f9b66bab |
completed | March 22, 2026, 5:38 p.m. |
| PD | Predicate disambiguation | batch_69c021c6488881909bed4a4534d57f70 |
completed | March 22, 2026, 5:07 p.m. |
Created at: March 22, 2026, 3:47 p.m.