Triple
T36443539
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coffea |
E897801
|
entity |
| Predicate | libericaOrigin |
P3743
|
FINISHED |
| Object | West and Central Africa |
—
|
LITERAL 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: West and Central Africa | Statement: [Coffea, libericaOrigin, West and Central Africa]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: libericaOrigin Context triple: [Coffea, libericaOrigin, West and Central Africa]
-
A.
originatesFromIsland
Indicates that the subject has its origin or source located on an island.
-
B.
placeOfOrigin
chosen
Indicates the location or source from which an entity originally comes or was created.
-
C.
historicalOriginCountry
Indicates the country from which something originally came or first emerged in a historical context.
-
D.
coffeeSourcingRegion
Indicates the geographic region from which the coffee was originally sourced or obtained.
-
E.
speciesOrigin
Indicates the place, environment, or source from which a species originally arose or evolved.
- 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_69f76e5720b481908f8177ac24a7560b |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7be9d07ac8190adf796cbef60daf6 |
completed | May 3, 2026, 9:31 p.m. |
| PD | Predicate disambiguation | batch_69f7bccf05bc8190b61fdb2b2a315811 |
completed | May 3, 2026, 9:23 p.m. |
Created at: May 3, 2026, 4:10 p.m.