Triple
T26149090
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marley Coffee |
E659762
|
entity |
| Predicate | usesBeansFrom |
P22634
|
FINISHED |
| Object | Ethiopia |
—
|
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: Ethiopia | Statement: [Marley Coffee, usesBeansFrom, Ethiopia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesBeansFrom Context triple: [Marley Coffee, usesBeansFrom, Ethiopia]
-
A.
injectsFrom
Indicates that a substance, data, or material is introduced or transferred from one source entity into another target entity via an injection process.
-
B.
areUsedBy
chosen
Indicates that certain entities serve as tools, resources, or means that are utilized or employed by other entities.
-
C.
providedBeamsTo
Indicates that one entity supplied or delivered beams to another entity.
-
D.
usesElementsOf
Indicates that one entity incorporates, applies, or draws upon components, principles, or features derived from another entity.
-
E.
usesNestFor
Indicates that one entity makes use of another entity specifically as a nest or nesting place.
- 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_69ee5bc496a88190af7deb7ab5e081de |
completed | April 26, 2026, 6:39 p.m. |
| NER | Named-entity recognition | batch_69f657f653448190a945b4751af8507d |
completed | May 2, 2026, 8 p.m. |
| PD | Predicate disambiguation | batch_69f6575ba12081909396036f78757a76 |
completed | May 2, 2026, 7:58 p.m. |
Created at: April 26, 2026, 8:24 p.m.