Triple
T27902161
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bacchus |
E705663
|
entity |
| Predicate | wineProfileComparison |
P54725
|
FINISHED |
| Object | sometimes compared to Sauvignon Blanc in aroma profile |
—
|
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: sometimes compared to Sauvignon Blanc in aroma profile | Statement: [Bacchus, wineProfileComparison, sometimes compared to Sauvignon Blanc in aroma profile]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wineProfileComparison Context triple: [Bacchus, wineProfileComparison, sometimes compared to Sauvignon Blanc in aroma profile]
-
A.
wineStyleComparedTo
chosen
Indicates a comparison between wines in terms of their style or stylistic characteristics.
-
B.
wineList
Indicates that an entity is a list or collection of wines associated with another entity (such as a restaurant, event, or menu).
-
C.
wineStyleContribution
Indicates how much a given factor or component influences or shapes the overall style or character of a wine.
-
D.
wineComponent
Indicates that one entity is a constituent ingredient or part of a wine represented by the other entity.
-
E.
wineStructure
Indicates the overall sensory framework of a wine, encompassing how its components like acidity, tannin, body, and alcohol are balanced and interact.
- 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_69ef96b490ac8190a412d04c5d009f3e |
completed | April 27, 2026, 5:02 p.m. |
| NER | Named-entity recognition | batch_69f63b317e048190963989b732b25b91 |
completed | May 2, 2026, 5:58 p.m. |
| PD | Predicate disambiguation | batch_69f6370ea79c81909b761821ee0fa698 |
completed | May 2, 2026, 5:40 p.m. |
Created at: April 27, 2026, 6:43 p.m.