Triple
T6652314
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kona |
E150850
|
entity |
| Predicate | hasProduct |
P3585
|
FINISHED |
| Object | Kona coffee |
E150855
|
NE 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: Kona coffee | Statement: [Kona, hasProduct, Kona coffee]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kona coffee Context triple: [Kona, hasProduct, Kona coffee]
-
A.
Blue Mountains coffee
Blue Mountains coffee is a highly prized Jamaican coffee variety renowned for its mild flavor, smooth body, and low bitterness, grown at high elevations in the Blue Mountains region.
-
B.
Arabica
Arabica is a high-quality coffee species prized for its smooth, aromatic flavor and widely used in premium coffee varieties worldwide.
-
C.
Sandy Coffee
Sandy Coffee is a musical artist known for appearing on the remix of Ludacris's song "Splash Waterfalls."
-
D.
Kona coffee-growing region
chosen
The Kona coffee-growing region is a renowned agricultural area on the western slopes of Hawaii’s Big Island, famous for producing high-quality, single-origin Arabica coffee prized worldwide for its distinctive flavor.
-
E.
Sidamo
Sidamo is a Cushitic language spoken primarily in southern Ethiopia by the Sidama people.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69c687f2c9508190a60b9aad31d3f358 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6b046c1408190af288575e40936d0 |
completed | March 27, 2026, 4:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6eefb3b6c8190ba797dc51966e3a5 |
completed | March 27, 2026, 8:56 p.m. |
Created at: March 27, 2026, 2:01 p.m.