Triple
T6523311
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barolo |
E151240
|
entity |
| Predicate | minimumGrapeComposition |
P51956
|
FINISHED |
| Object | 100% Nebbiolo |
—
|
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: 100% Nebbiolo | Statement: [Barolo, minimumGrapeComposition, 100% Nebbiolo]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: minimumGrapeComposition Context triple: [Barolo, minimumGrapeComposition, 100% Nebbiolo]
-
A.
grapeMinimum
chosen
Indicates the minimum quantity, size, or threshold value associated with grapes in a given context.
-
B.
maximumViognierPercentage
Indicates the highest allowable proportion of Viognier in a given wine or blend.
-
C.
grapeVarietyAllowed
Indicates that a specific grape variety is permitted or authorized for use in a given context, such as a wine, region, or product specification.
-
D.
minimumMalbecPercentage
Indicates the minimum required percentage of Malbec in a composition, blend, or product for a given rule or classification to apply.
-
E.
hasRegulatedGrapes
Indicates that certain grapes are subject to specific rules, standards, or controls imposed by an authority 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_69c687f522748190b3058405553cdabd |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6ad970afc81909d3231203eacf413 |
completed | March 27, 2026, 4:17 p.m. |
| PD | Predicate disambiguation | batch_69c68abbc7148190a8270d47fe10cc31 |
completed | March 27, 2026, 1:48 p.m. |
Created at: March 27, 2026, 1:45 p.m.