Triple
T6707588
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vino Nobile di Montepulciano |
E153046
|
entity |
| Predicate | minimumAlcoholContent |
P2071
|
FINISHED |
| Object | about 12.5% ABV |
—
|
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: about 12.5% ABV | Statement: [Vino Nobile di Montepulciano, minimumAlcoholContent, about 12.5% ABV]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: minimumAlcoholContent Context triple: [Vino Nobile di Montepulciano, minimumAlcoholContent, about 12.5% ABV]
-
A.
alcoholType
Indicates the specific kind or category of alcohol associated with an entity (e.g., beer, wine, spirits).
-
B.
madeWithAlcohol
Indicates that something is created, prepared, or produced using alcohol as an ingredient or component.
-
C.
minimumAgingBottle
Indicates the minimum amount of time a bottle must age (or be stored) before it is considered ready or valid for its intended use.
-
D.
bottlingStrengthRange
Indicates the range of alcohol strengths at which a beverage is bottled.
-
E.
alcoholLevel
chosen
Indicates the measured concentration or amount of alcohol present in an entity (such as a person, substance, or environment).
- 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_69c68808d8d8819087369015270788fe |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d16897e48190b43eda2206b14d6a |
completed | March 27, 2026, 6:50 p.m. |
| PD | Predicate disambiguation | batch_69c6d089c7488190a00853fb12f53b2a |
completed | March 27, 2026, 6:46 p.m. |
Created at: March 27, 2026, 2:06 p.m.