Triple
T33097109
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Valgella |
E846938
|
entity |
| Predicate | synonymOfGrapeUsed |
P52213
|
FINISHED |
| Object | Chiavennasca |
—
|
NE NERFINISHED |
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: Chiavennasca | Statement: [Valgella, synonymOfGrapeUsed, Chiavennasca]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: synonymOfGrapeUsed Context triple: [Valgella, synonymOfGrapeUsed, Chiavennasca]
-
A.
synonymOfPrimaryGrape
chosen
Indicates that one grape variety is a synonym or alternate name for the primary grape variety specified.
-
B.
alsoUsesGrapeVariety
Indicates that one entity, in addition to another, makes use of the same grape variety in its composition or production.
-
C.
usesGrapeType
Indicates that one entity employs or incorporates a specific type or variety of grape in its composition, production, or process.
-
D.
grapeProduct
Indicates that one entity is a product derived from or made using grapes.
-
E.
grapeVarietal
Indicates that one entity is a specific type or variety of grape used in wine or grape production in relation to another 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_69f3495590dc8190aa04f3dec74ce976 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6d6a9d12881908087ba7b04049ec0 |
completed | May 3, 2026, 5:01 a.m. |
| PD | Predicate disambiguation | batch_69f6d27120988190aacec621cf2bf0e8 |
completed | May 3, 2026, 4:43 a.m. |
Created at: May 1, 2026, 1:26 a.m.