Triple
T25994997
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ruchè di Castagnole Monferrato |
E646460
|
entity |
| Predicate | originGrape |
P44919
|
FINISHED |
| Object | Ruchè grape |
—
|
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: Ruchè grape | Statement: [Ruchè di Castagnole Monferrato, originGrape, Ruchè grape]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originGrape Context triple: [Ruchè di Castagnole Monferrato, originGrape, Ruchè grape]
-
A.
grapeSource
chosen
Indicates that one entity is the origin or provider of grapes used by another entity.
-
B.
grapeOriginScope
Indicates the geographical or contextual scope within which a grape’s origin is defined or considered relevant.
-
C.
grapeSourceRegion
Indicates the geographic region from which the grapes used in a product are sourced.
-
D.
grapeParentage
Indicates the parent-offspring relationship between grape varieties, specifying which grape(s) are the progenitors of another grape.
-
E.
knownForGrape
Indicates that an entity (such as a region, producer, or product) is notably associated with or recognized for a particular grape variety.
- 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_69e77e88cb8481908da31d4a00661f55 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f7c29e1b848190b945c6c6120a5330 |
completed | May 3, 2026, 9:48 p.m. |
| PD | Predicate disambiguation | batch_69f7c1b6e7a881908deb96bedb2713f4 |
completed | May 3, 2026, 9:44 p.m. |
Created at: April 22, 2026, 8:57 a.m.