Triple
T10074463
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jurançon wine region |
E213713
|
entity |
| Predicate | sweetWineTechnique |
P77755
|
FINISHED |
| Object | late harvesting of grapes |
—
|
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: late harvesting of grapes | Statement: [Jurançon wine region, sweetWineTechnique, late harvesting of grapes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sweetWineTechnique Context triple: [Jurançon wine region, sweetWineTechnique, late harvesting of grapes]
-
A.
vinificationUse
chosen
Indicates the process or method of winemaking applied to a given wine or batch.
-
B.
sparklingWineMethod
Indicates that a wine is produced using a specific method or process for making sparkling wine.
-
C.
commonVinification
Indicates that two wines share the same or very similar vinification (winemaking) process.
-
D.
vinification
Indicates the process by which grapes (or other fruits) are transformed into wine through fermentation and related winemaking steps.
-
E.
sweetWineArea
Indicates an area or region that is known for producing or associated with sweet wine.
- 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_69ca839add308190b57d53b4ec21f2d0 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cdd017b8288190a577bd66e4ba66b7 |
completed | April 2, 2026, 2:10 a.m. |
| PD | Predicate disambiguation | batch_69cd4b97870481908f7a89df10d58a9e |
completed | April 1, 2026, 4:45 p.m. |
Created at: March 30, 2026, 8:59 p.m.