Triple
T33032282
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grumello |
E845194
|
entity |
| Predicate | belongsToWineCategory |
P95084
|
FINISHED |
| Object | still 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: still wines | Statement: [Grumello, belongsToWineCategory, still wines]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: belongsToWineCategory Context triple: [Grumello, belongsToWineCategory, still wines]
-
A.
hasWineCategory
chosen
Indicates that one entity is classified under, or associated with, a particular category or type of wine.
-
B.
belongsToAppellation
Indicates that something is associated with or falls under a specific appellation or designated name/category.
-
C.
hasWineryType
Indicates the specific category or classification of winery associated with an entity.
-
D.
parentWine
Indicates that one wine is the direct source, base, or originating wine from which another wine is derived, blended, or produced.
-
E.
hasCategoryOn
Indicates that something is assigned to or associated with a specific category within a given context or scope.
- 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_69f34950749c8190ae05cd27adb16d58 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69ff0491409c8190be40f633a58da0b1 |
completed | May 9, 2026, 9:55 a.m. |
| PD | Predicate disambiguation | batch_69ff040bb5cc81909534c7eee85d5e90 |
completed | May 9, 2026, 9:53 a.m. |
Created at: May 1, 2026, 1:24 a.m.