Triple
T19341934
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Refosco dal Peduncolo Rosso |
E483774
|
entity |
| Predicate | acidityContribution |
P56868
|
FINISHED |
| Object | pronounced freshness in wines |
—
|
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: pronounced freshness in wines | Statement: [Refosco dal Peduncolo Rosso, acidityContribution, pronounced freshness in wines]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: acidityContribution Context triple: [Refosco dal Peduncolo Rosso, acidityContribution, pronounced freshness in wines]
-
A.
acidityLevel
Indicates the degree or intensity of acidity associated with an entity, typically measured by pH or a comparable scale.
-
B.
isMoreAcidicThan
Indicates that one substance has a lower pH (greater concentration of hydrogen ions) and thus a stronger acidic character than another substance.
-
C.
wineAcidityType
chosen
Indicates the type or category of acidity associated with a given wine.
-
D.
containsCitricAcid
Indicates that one entity includes citric acid as a component or ingredient within it.
-
E.
isWeakAcid
Indicates that a substance partially dissociates into ions in solution, characterizing it as a weak acid.
- 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_69d8e8d244f8819080eb1f3491300db2 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e6185795bc8190a63061ca794c0d67 |
completed | April 20, 2026, 12:13 p.m. |
| PD | Predicate disambiguation | batch_69e4dd12303c8190a2027c062b2dff40 |
completed | April 19, 2026, 1:48 p.m. |
Created at: April 10, 2026, 1:33 p.m.