Triple
T9261193
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New Zealand wine industry |
E222581
|
entity |
| Predicate | grapeGrowingLatitudeRange |
P87849
|
FINISHED |
| Object | approximately 36°S to 45°S |
—
|
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: approximately 36°S to 45°S | Statement: [New Zealand wine industry, grapeGrowingLatitudeRange, approximately 36°S to 45°S]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: grapeGrowingLatitudeRange Context triple: [New Zealand wine industry, grapeGrowingLatitudeRange, approximately 36°S to 45°S]
-
A.
grapeMinimum
Indicates the minimum quantity, size, or threshold value associated with grapes in a given context.
-
B.
grapeGrowingInfluence
Indicates how various factors affect or shape the process and outcomes of growing grapes.
-
C.
grapeVarietyAllowed
Indicates that a specific grape variety is permitted or authorized for use in a given context, such as a wine, region, or product specification.
-
D.
viticulturalClimate
Indicates the type of climate conditions relevant to grape growing and wine production that characterize a given region or area.
-
E.
wineGrapesCultivated
Indicates that certain grape varieties are grown or cultivated specifically for producing wine.
- F. None of above. chosen
Provenance (4 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_69ca841f2e808190a64f4c31903a1332 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd07175be881908a917573ec9b9081 |
completed | April 1, 2026, 11:52 a.m. |
| PD | Predicate disambiguation | batch_69cc7a537bbc8190baee71f556e52a7b |
completed | April 1, 2026, 1:52 a.m. |
| PDg | Predicate description generation | batch_69cc95597be081908ece2491dd2f0f74 |
completed | April 1, 2026, 3:47 a.m. |
Created at: March 30, 2026, 7:32 p.m.