Triple
T35656350
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barbera wine |
E1030296
|
entity |
| Predicate | isWidelyPlantedIn |
P2078
|
FINISHED |
| Object | Piedmont |
—
|
NE NERFINISHED |
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: Piedmont | Statement: [Barbera wine, isWidelyPlantedIn, Piedmont]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isWidelyPlantedIn Context triple: [Barbera wine, isWidelyPlantedIn, Piedmont]
-
A.
widelyCultivatedIn
chosen
Indicates that something is grown extensively or on a large scale within a particular place or region.
-
B.
isWidelyCultivated
Indicates that something is grown or produced extensively across many regions or by many people, typically on a large or commercial scale.
-
C.
isCultivatedAs
Indicates that one entity is intentionally grown, tended, or produced by another as a crop, resource, or cultivated organism.
-
D.
cultivatedPrimarilyIn
Indicates that something is mainly grown, produced, or farmed in a particular place or environment.
-
E.
plantedIn
Indicates that one entity has been placed or sown into another entity as its growing or containing medium.
- 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_69f76e0938088190a8f199631e97dec3 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f79f78111c8190b0b8a109c3101da0 |
completed | May 3, 2026, 7:18 p.m. |
| PD | Predicate disambiguation | batch_69f79e4d885881908a3612e2e75cf84f |
completed | May 3, 2026, 7:13 p.m. |
Created at: May 3, 2026, 4:05 p.m.