Triple
T7178516
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Napareuli |
E167380
|
entity |
| Predicate | belongsToWineCulture |
P1439
|
FINISHED |
| Object | Georgian wine culture |
—
|
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: Georgian wine culture | Statement: [Napareuli, belongsToWineCulture, Georgian wine culture]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: belongsToWineCulture Context triple: [Napareuli, belongsToWineCulture, Georgian wine culture]
-
A.
hasWineMakingTradition
Indicates that a place or group has an established, culturally recognized history and practice of producing wine.
-
B.
nationalWineTradition
Indicates that a country or region has an established cultural and historical practice of producing, consuming, and valuing wine.
-
C.
notableWineRegionCountry
Indicates that a country is recognized as a notable or significant wine-producing region.
-
D.
hasAssociatedCulture
chosen
Indicates that an entity is related to, influenced by, or characterized by a particular culture.
-
E.
wineGrapesCultivated
Indicates that certain grape varieties are grown or cultivated specifically for producing 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_69c6888a7c548190a3d39b52a393080f |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e9b045c48190b27b2d6f7c11026f |
completed | March 27, 2026, 8:33 p.m. |
| PD | Predicate disambiguation | batch_69c6e74fb0f48190b2ad4dd4efdd241a |
completed | March 27, 2026, 8:23 p.m. |
Created at: March 27, 2026, 2:49 p.m.