Triple
T30091779
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ciliegiolo |
E764752
|
entity |
| Predicate | cultivationRegionType |
P91024
|
FINISHED |
| Object | hilly vineyards |
—
|
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: hilly vineyards | Statement: [Ciliegiolo, cultivationRegionType, hilly vineyards]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cultivationRegionType Context triple: [Ciliegiolo, cultivationRegionType, hilly vineyards]
-
A.
cultivatedInRegion
Indicates that something (such as a crop or plant) is grown or produced through cultivation within a specified geographic region.
-
B.
cultivationLocation
chosen
Indicates the place or environment where something is grown, raised, or cultivated.
-
C.
cultivatedBy
Indicates that something (such as land, crops, or plants) is grown, tended, or developed through the efforts or care of a particular agent.
-
D.
cultivationType
Indicates the method or system by which something (typically crops or land) is cultivated or farmed.
-
E.
teaProductionRegion
Indicates the region or area where tea is produced or cultivated.
- 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_69f22473c0fc8190a926a8051b3b378b |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f67d7064188190a7cc837036437d1b |
completed | May 2, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69f678ce54b081908c26edfd49e39c60 |
completed | May 2, 2026, 10:21 p.m. |
Created at: April 29, 2026, 7:06 p.m.