Triple
T26338030
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stages on Life’s Way |
E662569
|
entity |
| Predicate | settingOfSection |
P89047
|
FINISHED |
| Object | banquet in In Vino Veritas |
—
|
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: banquet in In Vino Veritas | Statement: [Stages on Life’s Way, settingOfSection, banquet in In Vino Veritas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: settingOfSection Context triple: [Stages on Life’s Way, settingOfSection, banquet in In Vino Veritas]
-
A.
setting
Indicates the place, time, or context in which an event, action, or interaction occurs.
-
B.
sectionType
Indicates the specific kind or category of section that an entity belongs to or represents.
-
C.
section
Indicates that one entity is a distinct part, division, or segment of another entity within a larger whole.
-
D.
coversSetting
chosen
Indicates that one entity includes or addresses a particular setting or context within its scope.
-
E.
sectionProvided
Indicates that a specific section or portion of content has been supplied or made available by one entity to another.
- 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_69ee81304194819092e20e0fae3aee07 |
completed | April 26, 2026, 9:18 p.m. |
| NER | Named-entity recognition | batch_69f621fcea1481909b6f8b3af1ee6820 |
completed | May 2, 2026, 4:10 p.m. |
| PD | Predicate disambiguation | batch_69f620debeb48190b7db395fb86cf8d9 |
completed | May 2, 2026, 4:05 p.m. |
Created at: April 26, 2026, 10:37 p.m.