Triple
T5725227
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Book of Zephaniah |
E126248
|
entity |
| Predicate | secondaryTheme |
P20138
|
FINISHED |
| Object | call to repentance |
—
|
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: call to repentance | Statement: [Book of Zephaniah, secondaryTheme, call to repentance]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: secondaryTheme Context triple: [Book of Zephaniah, secondaryTheme, call to repentance]
-
A.
secondaryColour
Indicates that one entity serves as a secondary or accent color in relation to another entity’s primary color.
-
B.
secondaryTone
Indicates that one tone functions as a secondary or supporting tonal element in relation to a primary tone within a given context.
-
C.
secondaryTo
Indicates that one condition, event, or factor occurs as a consequence of, or is caused by, another primary condition, event, or factor.
-
D.
secondaryBranchColor
Indicates the color assigned to a secondary or subordinate branch in relation to a primary branch.
-
E.
subtheme
chosen
Indicates that one topic or concept functions as a more specific, subordinate theme within a broader overarching theme.
- 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.