Triple
T15204520
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Candy Mountain AVA |
E363354
|
entity |
| Predicate | grapeQuality |
P87780
|
FINISHED |
| Object | premium |
—
|
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: premium | Statement: [Candy Mountain AVA, grapeQuality, premium]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: grapeQuality Context triple: [Candy Mountain AVA, grapeQuality, premium]
-
A.
grapeCondition
Indicates the state or quality of a grape, such as its health, ripeness, or any notable physical condition.
-
B.
grapeSource
Indicates that one entity is the origin or provider of grapes used by another entity.
-
C.
wineQualityLevelProduced
chosen
Indicates the quality level or grade assigned to the wine that is produced in the described production event or process.
-
D.
grapeMinimum
Indicates the minimum quantity, size, or threshold value associated with grapes in a given context.
-
E.
grapeVarietyAllowed
Indicates that a specific grape variety is permitted or authorized for use in a given context, such as a wine, region, or product specification.
- 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_69d85a0b78bc8190b6e5ad51a2c4cfc5 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e006b693a48190a6230b7b52bc8cd3 |
completed | April 15, 2026, 9:44 p.m. |
| PD | Predicate disambiguation | batch_69deb97ee9d881908711dbe12a55283c |
completed | April 14, 2026, 10:02 p.m. |
Created at: April 10, 2026, 3:11 a.m.