Triple
T8597273
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vidal blanc |
E203581
|
entity |
| Predicate | sugarAccumulationPotential |
P26918
|
FINISHED |
| Object | high |
—
|
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: high | Statement: [Vidal blanc, sugarAccumulationPotential, high]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sugarAccumulationPotential Context triple: [Vidal blanc, sugarAccumulationPotential, high]
-
A.
yieldPotential
Indicates the expected amount or capacity of output, production, or benefit that something can generate under given conditions.
-
B.
hasSugarMills
Indicates that one entity possesses, contains, or is associated with one or more sugar mills.
-
C.
sweetenerType
Indicates the specific kind or category of sweetener associated with or used in relation to an entity.
-
D.
hasSugarContent
chosen
Indicates that one entity possesses or contains a specified amount or level of sugar.
-
E.
sweetening
Indicates the action or process of making something taste sweeter, often by adding a sweet substance.
- 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_69ca832b56948190ba751cec255308f1 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cc46cacbe88190b95beeedc9f480b0 |
completed | March 31, 2026, 10:12 p.m. |
| PD | Predicate disambiguation | batch_69cc454504448190aaad2af8b17357cd |
completed | March 31, 2026, 10:05 p.m. |
Created at: March 30, 2026, 6:24 p.m.