Triple
T36198898
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Naranjo Canton |
E1047203
|
entity |
| Predicate | hasCoffeeGrowingAreas |
—
|
GENERATED |
| Object | true |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCoffeeGrowingAreas Context triple: [Naranjo Canton, hasCoffeeGrowingAreas, true]
-
A.
partOfCoffeeRegion
Indicates that one entity is a subregion or component area within a larger coffee-producing region.
-
B.
teaProductionRegion
Indicates the region or area where tea is produced or cultivated.
-
C.
coffeeSourcingRegion
Indicates the geographic region from which the coffee was originally sourced or obtained.
-
D.
hasCoffeeCulture
Indicates that a place or group is characterized by established social practices, traditions, and norms centered around the consumption and appreciation of coffee.
-
E.
hasTeaGardens
Indicates that one entity possesses, contains, or includes tea gardens as part of its attributes or domain.
- F. None of above. chosen
Provenance (1 batch)
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_69f76e414bdc8190996f15a544220a3d |
completed | May 3, 2026, 3:48 p.m. |
Created at: May 3, 2026, 4:08 p.m.