Triple
T21906684
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vaccarèse |
E540958
|
entity |
| Predicate | oenologicalRole |
P17953
|
FINISHED |
| Object | adds color to blends |
—
|
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: adds color to blends | Statement: [Vaccarèse, oenologicalRole, adds color to blends]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: oenologicalRole Context triple: [Vaccarèse, oenologicalRole, adds color to blends]
-
A.
oenologist
Indicates that one entity is an expert in the science and practice of wine and winemaking in relation to another entity.
-
B.
oenologicalPractice
Indicates a relationship where an entity is involved in, applies, or is characterized by a specific winemaking or wine-handling practice.
-
C.
viticulturalRole
Indicates the specific function, responsibility, or involvement an entity has within viticulture or grape-growing activities.
-
D.
oenologicalSignificance
chosen
Indicates the relationship in which something holds importance, relevance, or notable impact within the context of wine or winemaking.
-
E.
wineEconomyRole
Indicates the role or function an entity has within the wine-related economy, such as production, distribution, trade, or regulation.
- 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_69e0c47b4e8c81908c8076eaa4c8e4f2 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f121d74d388190be58b937c486fa69 |
completed | April 28, 2026, 9:08 p.m. |
| PD | Predicate disambiguation | batch_69e6be9ebf4c8190892df1a8e1313f88 |
completed | April 21, 2026, 12:02 a.m. |
Created at: April 16, 2026, 7:38 p.m.