Triple
T3352343
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Usakhelauri |
E70523
|
entity |
| Predicate | grapeOrigin |
P6176
|
FINISHED |
| Object | indigenous Georgian grape variety |
—
|
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: indigenous Georgian grape variety | Statement: [Usakhelauri, grapeOrigin, indigenous Georgian grape variety]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: grapeOrigin Context triple: [Usakhelauri, grapeOrigin, indigenous Georgian grape variety]
-
A.
wineGrapesCultivated
Indicates that certain grape varieties are grown or cultivated specifically for producing wine.
-
B.
grapeSource
Indicates that one entity is the origin or provider of grapes used by another entity.
-
C.
traditionalGrapeVariety
Indicates that a grape variety is traditionally or historically used in a specific region, wine style, or cultural winemaking practice.
-
D.
producesWine
Indicates that one entity creates or manufactures wine as a product.
-
E.
wineRegion
chosen
Indicates the geographical region or area where a particular wine is produced or originates.
- 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_69ad85a4ef7c8190a29e2bbd6fa454e4 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb221a7d8819086cd0f826eca0fe8 |
completed | March 8, 2026, 5:30 p.m. |
| PD | Predicate disambiguation | batch_69ada42fbe7c8190b9f185b5ab985f17 |
completed | March 8, 2026, 4:30 p.m. |
Created at: March 8, 2026, 3:13 p.m.