Triple
T9261160
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New Zealand wine industry |
E222581
|
entity |
| Predicate | importantWhiteVariety |
P59038
|
FINISHED |
| Object | Chardonnay |
—
|
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: Chardonnay | Statement: [New Zealand wine industry, importantWhiteVariety, Chardonnay]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: importantWhiteVariety Context triple: [New Zealand wine industry, importantWhiteVariety, Chardonnay]
-
A.
notableVarieties
chosen
Indicates that there are specific, distinguished types or versions associated with an entity that are recognized as notable.
-
B.
moreEndangeredVariety
Indicates that one variety is at a higher level of endangerment or risk of extinction compared to another variety.
-
C.
parentVariety
Indicates that one variety is the direct parent or source variety from which another variety is derived or developed.
-
D.
isInlandVarietyOf
Indicates that one entity is a variety or subtype of another that occurs specifically in inland (non-coastal) areas.
-
E.
numberOfPrimaryVarieties
Indicates the count of distinct primary varieties associated with a given entity.
- 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_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. |
Created at: March 30, 2026, 7:32 p.m.