Triple
T570991
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Howell Mountain AVA |
E13661
|
entity |
| Predicate | famousProducerRegionFor |
P6176
|
FINISHED |
| Object | single-vineyard Cabernet Sauvignon wines |
—
|
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: single-vineyard Cabernet Sauvignon wines | Statement: [Howell Mountain AVA, famousProducerRegionFor, single-vineyard Cabernet Sauvignon wines]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: famousProducerRegionFor Context triple: [Howell Mountain AVA, famousProducerRegionFor, single-vineyard Cabernet Sauvignon wines]
-
A.
isProducedIn
Indicates that something is created, manufactured, or generated within a particular place, context, or process.
-
B.
regionallyAssociatedWith
Indicates that two entities are connected or related based on sharing the same or overlapping geographic or regional context.
-
C.
regionallyKnownAs
Indicates that an entity is known by a particular name or designation within a specific geographic region.
-
D.
placeOfOrigin
Indicates the location or source from which an entity originally comes or was created.
-
E.
wineRegion
chosen
Indicates the geographical region or area where a particular wine is produced or originates.
- 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_69a4933fa4d88190a7949cc83c08c5c1 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49b483ac08190b3be152a7cf42011 |
completed | March 1, 2026, 8:02 p.m. |
| PD | Predicate disambiguation | batch_69a494c2caac819086ab316fa49d324c |
completed | March 1, 2026, 7:34 p.m. |
Created at: March 1, 2026, 7:33 p.m.