Triple
T5012866
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gisborne Region |
E112666
|
entity |
| Predicate | partOfWineCountry |
P8842
|
FINISHED |
| Object | New Zealand wine |
—
|
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: New Zealand wine | Statement: [Gisborne Region, partOfWineCountry, New Zealand wine]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partOfWineCountry Context triple: [Gisborne Region, partOfWineCountry, New Zealand wine]
-
A.
wineRegion
Indicates the geographical region or area where a particular wine is produced or originates.
-
B.
wineTourism
Indicates a relationship where tourism activities are specifically centered around visiting wine-producing regions, wineries, and related wine experiences.
-
C.
wineRegionPartOf
chosen
Indicates that a wine-producing region is geographically or administratively contained within a larger wine region or area.
-
D.
hasWineMakingTradition
Indicates that a place or group has an established, culturally recognized history and practice of producing wine.
-
E.
nearWineRegion
Indicates that one entity is located close to or in the vicinity of a wine-producing region.
- 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_69bd4434acb8819086679dbeccc2fe54 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd730f12a481908a27c15dc73987c6 |
completed | March 20, 2026, 4:17 p.m. |
| PD | Predicate disambiguation | batch_69bd714cbc448190aa53a8a83d768b64 |
completed | March 20, 2026, 4:09 p.m. |
Created at: March 20, 2026, 1:35 p.m.