Triple
T12188938
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monthélie AOC |
E290408
|
entity |
| Predicate | typicalStructureWhite |
P90955
|
FINISHED |
| Object | lively acidity |
—
|
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: lively acidity | Statement: [Monthélie AOC, typicalStructureWhite, lively acidity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalStructureWhite Context triple: [Monthélie AOC, typicalStructureWhite, lively acidity]
-
A.
typicalWhiteStyleDescriptor
chosen
Indicates that something is described as having characteristics commonly associated with a stereotypical white cultural style or aesthetic.
-
B.
styleWhite
Indicates that one entity has a white style, appearance, or coloration in relation to another or within a given context.
-
C.
typicalStructuralElement
Indicates that one entity is a standard or characteristic structural component commonly found within or forming part of another entity.
-
D.
primaryWhiteVariety
Indicates that one entity is the primary white (light-skinned or white-colored) variety or form of another entity.
-
E.
traditionalStructure
Indicates that something follows or embodies a customary, historically established form, pattern, or organizational framework.
- 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_69d6ab64de5881908d56eb7a75c6cc69 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d938cd2edc8190b1971349dbc0dee0 |
completed | April 10, 2026, 5:52 p.m. |
| PD | Predicate disambiguation | batch_69d91c38321c819080d500d0d64a04f6 |
completed | April 10, 2026, 3:50 p.m. |
Created at: April 8, 2026, 9:50 p.m.