Triple
T24168332
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saperavi |
E599055
|
entity |
| Predicate | alsoGrownIn |
P95212
|
FINISHED |
| Object | Russia |
—
|
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: Russia | Statement: [Saperavi, alsoGrownIn, Russia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: alsoGrownIn Context triple: [Saperavi, alsoGrownIn, Russia]
-
A.
widelyCultivatedIn
Indicates that something is grown extensively or on a large scale within a particular place or region.
-
B.
cultivatedPrimarilyIn
Indicates that something is mainly grown, produced, or farmed in a particular place or environment.
-
C.
growsIn
Indicates that one entity develops, thrives, or increases in size or number within a specified environment, medium, or location.
-
D.
growsOn
Indicates that one entity develops or increases in size, number, or extent while being physically supported by or attached to another entity.
-
E.
cultivatedInRegion
chosen
Indicates that something (such as a crop or plant) is grown or produced through cultivation within a specified geographic 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_69e288cbd62881909de32ca64a70c17b |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f27c9ddfcc819096697a844b300cce |
completed | April 29, 2026, 9:48 p.m. |
| PD | Predicate disambiguation | batch_69f1c42f942c8190b103ff29a60fef34 |
completed | April 29, 2026, 8:41 a.m. |
Created at: April 17, 2026, 11:33 p.m.