Triple
T14502435
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pedro Ximénez sweet sherry |
E340175
|
entity |
| Predicate | grapeDryingMethod |
P94262
|
FINISHED |
| Object | sun-dried |
—
|
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: sun-dried | Statement: [Pedro Ximénez sweet sherry, grapeDryingMethod, sun-dried]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: grapeDryingMethod Context triple: [Pedro Ximénez sweet sherry, grapeDryingMethod, sun-dried]
-
A.
dryingMethod
chosen
Indicates the method or process used to dry an object or material.
-
B.
fermentationMethod
Indicates the process or technique by which a substance is fermented to achieve a desired transformation or product.
-
C.
traditionalVinification
Indicates that a wine is produced using traditional or historically established winemaking methods rather than modern or industrial techniques.
-
D.
commonVinification
Indicates that two wines share the same or very similar vinification (winemaking) process.
-
E.
grapeCondition
Indicates the state or quality of a grape, such as its health, ripeness, or any notable physical condition.
- 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_69d822d9c0408190b9a2b3643e58bb4d |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69de94e0f9048190a2d266cfa4f9dfb6 |
completed | April 14, 2026, 7:26 p.m. |
| PD | Predicate disambiguation | batch_69de5c4ccba08190a988bfda0bc9f5cb |
completed | April 14, 2026, 3:25 p.m. |
Created at: April 10, 2026, 1:21 a.m.