Triple
T33185266
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sanka |
E849450
|
entity |
| Predicate | usedDecaffeinationMethod |
P72099
|
FINISHED |
| Object | early solvent-based decaffeination |
—
|
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: early solvent-based decaffeination | Statement: [Sanka, usedDecaffeinationMethod, early solvent-based decaffeination]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedDecaffeinationMethod Context triple: [Sanka, usedDecaffeinationMethod, early solvent-based decaffeination]
-
A.
coffeeProcessingMethods
chosen
Indicates the methods or techniques used to transform raw coffee cherries or beans into a consumable coffee product.
-
B.
brewedUsing
Indicates that one entity was produced or prepared by using another entity as an ingredient, material, or component in a brewing process.
-
C.
hasCaffeineContent
Indicates that one entity (typically a beverage or substance) possesses a specified amount or presence of caffeine.
-
D.
brewedAccordingTo
Indicates that something has been produced or prepared following a specified brewing method, recipe, or standard.
-
E.
requiresBrewingKnowledgeOf
Indicates that performing or understanding the subject action or entity depends on having knowledge or expertise in brewing.
- 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_69f3495e0f108190a6a7006f79f9c2c3 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6dd3cc0648190a275812d6711275a |
completed | May 3, 2026, 5:29 a.m. |
| PD | Predicate disambiguation | batch_69f6d82eaee081908f06a71546315aea |
completed | May 3, 2026, 5:07 a.m. |
Created at: May 1, 2026, 1:29 a.m.