Triple
T34096402
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blue Mountain range |
E874439
|
entity |
| Predicate | coffeeGrownOnSlopes |
P178225
|
FINISHED |
| Object | Coffea arabica |
—
|
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: Coffea arabica | Statement: [Blue Mountain range, coffeeGrownOnSlopes, Coffea arabica]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coffeeGrownOnSlopes Context triple: [Blue Mountain range, coffeeGrownOnSlopes, Coffea arabica]
-
A.
coffeeHeritage
Indicates a historical or cultural connection between entities and the tradition, origin, or legacy of coffee.
-
B.
teaProductionRegion
Indicates the region or area where tea is produced or cultivated.
-
C.
coffeeProductionRole
Indicates the specific function or responsibility an entity has within the process or industry of producing coffee.
-
D.
coffeeSourcingRegion
Indicates the geographic region from which the coffee was originally sourced or obtained.
-
E.
coffeeVariety
Indicates a relationship where a specific type or variety of coffee is associated with a coffee-related entity (such as a product, beverage, or plant).
- F. None of above. chosen
Provenance (4 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_69f349a735208190a1dbfb1c2a121059 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f70c5d397c8190a662b6137058c075 |
completed | May 3, 2026, 8:50 a.m. |
| PD | Predicate disambiguation | batch_69f70ac0170c819098e3b8e41d02efef |
completed | May 3, 2026, 8:43 a.m. |
| PDg | Predicate description generation | batch_69f70b94784c8190970d654e066eb50d |
completed | May 3, 2026, 8:47 a.m. |
Created at: May 1, 2026, 1:53 a.m.