Triple
T6340060
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wisdom |
E142601
|
entity |
| Predicate | structurePart |
P17710
|
FINISHED |
| Object | exhortations to righteousness and wisdom (chs. 1–5) |
—
|
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: exhortations to righteousness and wisdom (chs. 1–5) | Statement: [Wisdom, structurePart, exhortations to righteousness and wisdom (chs. 1–5)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: structurePart Context triple: [Wisdom, structurePart, exhortations to righteousness and wisdom (chs. 1–5)]
-
A.
partOfWorkStructure
Indicates that one work-related component, role, or task is included within or belongs to a larger organizational or work structure.
-
B.
partOfType
Indicates that one entity represents a component, segment, or subset that belongs to or is included within the type or category represented by another entity.
-
C.
segmentStructure
chosen
Indicates that one entity represents a structural or organizational subdivision (a segment) within the overall structure of another entity.
-
D.
partOfWorkType
Indicates that something is a component, subtype, or specific category within a broader type of work.
-
E.
integratedStructure
Indicates that multiple components are combined into a single, cohesive structure that functions as an integrated whole.
- 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_69c008d5ab108190b346c465696824a9 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c06741fbbc81908d947182b197bf59 |
completed | March 22, 2026, 10:03 p.m. |
| PD | Predicate disambiguation | batch_69c060ea1a988190889e47b7e0c819b8 |
completed | March 22, 2026, 9:36 p.m. |
Created at: March 22, 2026, 4:30 p.m.