Triple
T25942740
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Holualoa |
E653749
|
entity |
| Predicate | isPartOfCoffeeRegion |
P86858
|
FINISHED |
| Object | Kona coffee belt |
—
|
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: Kona coffee belt | Statement: [Holualoa, isPartOfCoffeeRegion, Kona coffee belt]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPartOfCoffeeRegion Context triple: [Holualoa, isPartOfCoffeeRegion, Kona coffee belt]
-
A.
partOfCoffeeRegion
chosen
Indicates that one entity is a subregion or component area within a larger coffee-producing region.
-
B.
coffeeSourcingRegion
Indicates the geographic region from which the coffee was originally sourced or obtained.
-
C.
teaProductionRegion
Indicates the region or area where tea is produced or cultivated.
-
D.
cultivatedInRegion
Indicates that something (such as a crop or plant) is grown or produced through cultivation within a specified geographic region.
-
E.
cultivatedBy
Indicates that something (such as land, crops, or plants) is grown, tended, or developed through the efforts or care of a particular agent.
- 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_69e7ab3fd2f881908837305e4ba98011 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f6fb19063c81909466b329655c8583 |
completed | May 3, 2026, 7:36 a.m. |
| PD | Predicate disambiguation | batch_69f6f969b4cc8190afb473a2d8b110bc |
completed | May 3, 2026, 7:29 a.m. |
Created at: April 22, 2026, 8:41 a.m.