Triple
T31939837
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Copertino DOC |
E815492
|
entity |
| Predicate | grapeFocus |
P162513
|
FINISHED |
| Object | Negroamaro-based blends |
—
|
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: Negroamaro-based blends | Statement: [Copertino DOC, grapeFocus, Negroamaro-based blends]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: grapeFocus Context triple: [Copertino DOC, grapeFocus, Negroamaro-based blends]
-
A.
grapeProduct
Indicates that one entity is a product derived from or made using grapes.
-
B.
grapeSource
Indicates that one entity is the origin or provider of grapes used by another entity.
-
C.
grapeFamily
Indicates that one entity belongs to, or is classified within, the same botanical family as grapes.
-
D.
grapeVarietal
chosen
Indicates that one entity is a specific type or variety of grape used in wine or grape production in relation to another entity.
-
E.
viticulturalFocus
Indicates a focus on or specialization in viticulture, i.e., activities, practices, or interests centered on grape growing and vineyard management.
- 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_69f348f3035c81908558e2339955abb3 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6b2713c2881909e4d5e80aed67f09 |
completed | May 3, 2026, 2:26 a.m. |
| PD | Predicate disambiguation | batch_69f6b14faf608190a25b977c0740729c |
completed | May 3, 2026, 2:22 a.m. |
Created at: May 1, 2026, 12:05 a.m.