Triple
T5239454
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Diguillín Valley |
E118302
|
entity |
| Predicate | wineGrapes |
P33546
|
FINISHED |
| Object | red varieties |
—
|
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: red varieties | Statement: [Diguillín Valley, wineGrapes, red varieties]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wineGrapes Context triple: [Diguillín Valley, wineGrapes, red varieties]
-
A.
wineGrapesCultivated
chosen
Indicates that certain grape varieties are grown or cultivated specifically for producing wine.
-
B.
wineRegion
Indicates the geographical region or area where a particular wine is produced or originates.
-
C.
wineClassificationSystem
Indicates a system or scheme used to categorize and organize wines based on defined criteria such as origin, style, or quality.
-
D.
wineStyle
Indicates the stylistic category or type of wine (such as its production style, sweetness, body, or other defining characteristics) associated with an entity.
-
E.
wineLaw
Indicates a legal or regulatory relationship governing the production, sale, labeling, or distribution of wine.
- 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_69bd4467db0881909b3b0982df32cc8f |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7b2a52fc8190a22631e1853c74a3 |
completed | March 20, 2026, 4:51 p.m. |
| PD | Predicate disambiguation | batch_69bd77c1397c8190a7fd844d7a396e54 |
completed | March 20, 2026, 4:37 p.m. |
Created at: March 20, 2026, 1:49 p.m.