Triple
T31332915
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wairarapa wine region |
E799081
|
entity |
| Predicate | wineIndustryStructure |
P53749
|
FINISHED |
| Object | family-owned wineries |
—
|
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: family-owned wineries | Statement: [Wairarapa wine region, wineIndustryStructure, family-owned wineries]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wineIndustryStructure Context triple: [Wairarapa wine region, wineIndustryStructure, family-owned wineries]
-
A.
wineStructure
Indicates the overall sensory framework of a wine, encompassing how its components like acidity, tannin, body, and alcohol are balanced and interact.
-
B.
wineEconomyRole
chosen
Indicates the role or function an entity has within the wine-related economy, such as production, distribution, trade, or regulation.
-
C.
wineLaw
Indicates a legal or regulatory relationship governing the production, sale, labeling, or distribution of wine.
-
D.
wineDevelopment
Indicates the process or progression of how a wine changes, matures, or evolves in character over time.
-
E.
wineMarket
Indicates a commercial context or marketplace where wine is bought, sold, or traded.
- 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_69f224e3f6ac8190a13488516abca7c9 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f69ee30f8c819085d2daf14c040c2b |
completed | May 3, 2026, 1:03 a.m. |
| PD | Predicate disambiguation | batch_69f69d1d25e88190a7f57d323574da90 |
completed | May 3, 2026, 12:55 a.m. |
Created at: April 29, 2026, 9:16 p.m.