Triple
T1134170
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sonoma Coast AVA |
E23098
|
entity |
| Predicate | marketReputation |
P22814
|
FINISHED |
| Object | premium Pinot Noir region |
—
|
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 Pinot Noir region | Statement: [Sonoma Coast AVA, marketReputation, premium Pinot Noir region]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: marketReputation Context triple: [Sonoma Coast AVA, marketReputation, premium Pinot Noir region]
-
A.
manufacturerReputation
Indicates the perceived reliability, quality, and trustworthiness associated with a product’s manufacturer.
-
B.
editorialReputation
Indicates the perceived quality, reliability, and integrity of an entity’s editorial practices or content.
-
C.
reputationBuiltFor
Indicates that one entity has established or developed a reputation specifically for or in relation to another entity.
-
D.
regionalReputation
chosen
Indicates the recognition or standing an entity has within a specific geographic region based on its performance, influence, or perceived quality.
-
E.
marketReception
Indicates how a product, service, or work is received, evaluated, and responded to by the market or audience after its introduction.
- 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_69a493ec75988190b63a11bafaec29b4 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4bde18d208190848c189b2b8d585f |
completed | March 1, 2026, 10:29 p.m. |
| PD | Predicate disambiguation | batch_69a4bb4b52d48190bec2e7ad1cc8efc0 |
completed | March 1, 2026, 10:18 p.m. |
Created at: March 1, 2026, 7:44 p.m.