Triple
T2671233
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Asterids |
E55750
|
entity |
| Predicate | includesSpecies |
P10920
|
FINISHED |
| Object | Coffea arabica |
E258939
|
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: Coffea arabica | Statement: [Asterids, includesSpecies, Coffea arabica]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Coffea arabica Context triple: [Asterids, includesSpecies, Coffea arabica]
-
A.
Arabica
chosen
Arabica is a high-quality coffee species prized for its smooth, aromatic flavor and widely used in premium coffee varieties worldwide.
-
B.
Sidamo
Sidamo is a Cushitic language spoken primarily in southern Ethiopia by the Sidama people.
-
C.
Caffa
Caffa is the historical name of the Crimean port city now known as Feodosia, which was a major Genoese trading colony and a key Black Sea commercial hub in the Middle Ages.
-
D.
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.
-
E.
Coffee-Growers Axis
The Coffee-Growers Axis is a major coffee-producing region in Colombia, renowned for its lush landscapes, traditional coffee culture, and UNESCO-listed Coffee Cultural Landscape.
- 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_69ab49e54de48190be708cd1cf8be073 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd98e7d00819088398206fc7db477 |
completed | March 7, 2026, 7:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afa05f1ba48190a93a399d1067912c |
completed | March 10, 2026, 4:38 a.m. |
Created at: March 6, 2026, 9:54 p.m.