Triple
T35656446
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Asti wine district |
E1030298
|
entity |
| Predicate | grapeAromaProfile |
P152625
|
FINISHED |
| Object | muscat aroma |
—
|
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: muscat aroma | Statement: [Asti wine district, grapeAromaProfile, muscat aroma]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: grapeAromaProfile Context triple: [Asti wine district, grapeAromaProfile, muscat aroma]
-
A.
wineCharacteristic
Indicates a descriptive property or quality attributed to a wine, such as its flavor, aroma, color, or style.
-
B.
grapeVarietal
Indicates that one entity is a specific type or variety of grape used in wine or grape production in relation to another entity.
-
C.
characteristicAroma
chosen
Indicates that one entity has a distinctive smell or scent that characterizes or is typically associated with another entity.
-
D.
grapeVarietyType
Indicates the specific type or classification of a grape variety used or referred to in a given context.
-
E.
oenologicalProperty
Indicates a relationship where a characteristic or attribute is specifically related to wine or the science of winemaking.
- 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_69f76e0938088190a8f199631e97dec3 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7a34f8ee08190a040304635539a8f |
completed | May 3, 2026, 7:34 p.m. |
| PD | Predicate disambiguation | batch_69f7a06f125c8190843af194f042a465 |
completed | May 3, 2026, 7:22 p.m. |
Created at: May 3, 2026, 4:05 p.m.