Triple
T24566424
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boal |
E607801
|
entity |
| Predicate | comparedToOtherMadeiraStyles |
P54725
|
FINISHED |
| Object | sweeter than Verdelho |
—
|
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: sweeter than Verdelho | Statement: [Boal, comparedToOtherMadeiraStyles, sweeter than Verdelho]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: comparedToOtherMadeiraStyles Context triple: [Boal, comparedToOtherMadeiraStyles, sweeter than Verdelho]
-
A.
wineStyleComparedTo
chosen
Indicates a comparison between wines in terms of their style or stylistic characteristics.
-
B.
wineStyleContribution
Indicates how much a given factor or component influences or shapes the overall style or character of a wine.
-
C.
distinctionFromOtherPinots
Indicates that something is being differentiated or set apart from other entities classified as Pinot, highlighting its unique characteristics or identity relative to them.
-
D.
wineStylesAssociatedWith
Indicates a relationship where certain wine styles are linked or connected to a particular entity, such as a region, grape, producer, or product.
-
E.
wineStyle
Indicates the stylistic category or type of wine (such as its production style, sweetness, body, or other defining characteristics) associated with an entity.
- 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_69e2c4cc35a48190990b7571bc086df8 |
completed | April 17, 2026, 11:39 p.m. |
| NER | Named-entity recognition | batch_69f2a92082a881908896dcdda85559b9 |
completed | April 30, 2026, 12:58 a.m. |
| PD | Predicate disambiguation | batch_69f2a6b99e7c8190ba7e2dc8729a314a |
completed | April 30, 2026, 12:47 a.m. |
Created at: April 18, 2026, 2:28 a.m.