Triple
T8850892
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vernaccia di San Gimignano wine |
E210633
|
entity |
| Predicate | minimumVernacciaContent |
P84986
|
FINISHED |
| Object | 85% |
—
|
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: 85% | Statement: [Vernaccia di San Gimignano wine, minimumVernacciaContent, 85%]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: minimumVernacciaContent Context triple: [Vernaccia di San Gimignano wine, minimumVernacciaContent, 85%]
-
A.
minimumAlcoholByVolumeRiserva
Indicates the minimum required alcohol by volume percentage that a product must have to qualify as a "Riserva" version.
-
B.
minimumMalbecPercentage
Indicates the minimum required percentage of Malbec in a composition, blend, or product for a given rule or classification to apply.
-
C.
grapeMinimum
Indicates the minimum quantity, size, or threshold value associated with grapes in a given context.
-
D.
maximumViognierPercentage
Indicates the highest allowable proportion of Viognier in a given wine or blend.
-
E.
riservaMinimumAgingRequirement
Indicates that a product labeled as "riserva" must undergo at least a specified minimum aging period before it can be released or designated as such.
- F. None of above. chosen
Provenance (4 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_69ca838a424c8190b1ecac115c2927e7 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc60c2300c819097b1ca6ebe2f749a |
completed | April 1, 2026, 12:03 a.m. |
| PD | Predicate disambiguation | batch_69cc5c25b874819084c9ba391703e066 |
completed | March 31, 2026, 11:43 p.m. |
| PDg | Predicate description generation | batch_69cc5cffe8ec819084c12770fe0578f2 |
completed | March 31, 2026, 11:47 p.m. |
Created at: March 30, 2026, 6:49 p.m.