Triple
T6169495
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Riverina wine region |
E137654
|
entity |
| Predicate | countryWineIndustryRole |
P53749
|
FINISHED |
| Object | one of Australia’s largest wine-producing regions by volume |
—
|
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: one of Australia’s largest wine-producing regions by volume | Statement: [Riverina wine region, countryWineIndustryRole, one of Australia’s largest wine-producing regions by volume]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryWineIndustryRole Context triple: [Riverina wine region, countryWineIndustryRole, one of Australia’s largest wine-producing regions by volume]
-
A.
notableWineRegionCountry
Indicates that a country is recognized as a notable or significant wine-producing region.
-
B.
wineEconomyRole
chosen
Indicates the role or function an entity has within the wine-related economy, such as production, distribution, trade, or regulation.
-
C.
wineCountry
Indicates that a location is recognized as a region where wine is produced, typically known for its vineyards and wineries.
-
D.
wineRegion
Indicates the geographical region or area where a particular wine is produced or originates.
-
E.
producesWine
Indicates that one entity creates or manufactures wine as a product.
- 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_69c008a68c508190a8d78245c865960e |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05d8f97708190bebbc49c4a56c8a5 |
completed | March 22, 2026, 9:22 p.m. |
| PD | Predicate disambiguation | batch_69c055f7f12881908e21c04e9b752ba4 |
completed | March 22, 2026, 8:50 p.m. |
Created at: March 22, 2026, 4:18 p.m.