Triple
T25098169
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tarrazú |
E628646
|
entity |
| Predicate | coffeeFarmSizePattern |
P113194
|
FINISHED |
| Object | predominantly smallholder farms |
—
|
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: predominantly smallholder farms | Statement: [Tarrazú, coffeeFarmSizePattern, predominantly smallholder farms]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coffeeFarmSizePattern Context triple: [Tarrazú, coffeeFarmSizePattern, predominantly smallholder farms]
-
A.
cultivationScale
chosen
Indicates the relative size or extent of cultivation applied to something, such as how intensively or broadly it is being cultivated.
-
B.
coffeeOrganization
Indicates a relationship where an organization is involved with coffee, such as producing, distributing, selling, or promoting it.
-
C.
harvestSize
Indicates the quantity or scale of yield obtained from a harvesting activity.
-
D.
berrySize
Indicates the relative magnitude or dimensions of a berry in terms of its physical size.
-
E.
estimatedTeaWeight
Indicates the quantified amount of tea that is approximated or predicted in weight rather than precisely measured.
- 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_69e2ff3071548190b62d1ac237397197 |
completed | April 18, 2026, 3:49 a.m. |
| NER | Named-entity recognition | batch_69f46d3f35848190b56a4373c97a7d64 |
completed | May 1, 2026, 9:07 a.m. |
| PD | Predicate disambiguation | batch_69f4683472ec8190a483b3b8afe71720 |
completed | May 1, 2026, 8:45 a.m. |
Created at: April 18, 2026, 6:25 a.m.