Triple
T5484394
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saaremaa vodka |
E123543
|
entity |
| Predicate | flavourProfile |
P2068
|
FINISHED |
| Object | clean taste |
—
|
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: clean taste | Statement: [Saaremaa vodka, flavourProfile, clean taste]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: flavourProfile Context triple: [Saaremaa vodka, flavourProfile, clean taste]
-
A.
typicalFlavor
chosen
Indicates that something characteristically has or is associated with a particular flavor.
-
B.
wineCharacteristic
Indicates a descriptive property or quality attributed to a wine, such as its flavor, aroma, color, or style.
-
C.
mouthfeel
Indicates the sensory qualities and physical sensations a substance produces in the mouth when consumed.
-
D.
fruitCharacteristic
Indicates that a specified characteristic or property is attributed to a particular fruit.
-
E.
seasoningStyle
Indicates the characteristic way in which an item is flavored or seasoned, such as the method, intensity, or cultural style of its seasoning.
- 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_69bd4648883481909e9775d43300c5fa |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd93e5d0f08190a6cc9fc408b7c5bb |
completed | March 20, 2026, 6:37 p.m. |
| PD | Predicate disambiguation | batch_69bd91a73b148190a865243536a4fe76 |
completed | March 20, 2026, 6:27 p.m. |
Created at: March 20, 2026, 2:10 p.m.