Triple
T71675
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chardonnay |
E1433
|
entity |
| Predicate | primaryRegion |
P1103
|
FINISHED |
| Object | Napa Valley |
E250
|
NE 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: Napa Valley | Statement: [Chardonnay, primaryRegion, Napa Valley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Napa Valley Context triple: [Chardonnay, primaryRegion, Napa Valley]
-
A.
Napa Valley
chosen
Napa Valley is a renowned wine-producing region in Northern California, famous for its vineyards, wineries, and picturesque landscapes.
-
B.
Napa
Napa is a city in Northern California that serves as the commercial and cultural hub of the renowned Napa Valley wine region.
-
C.
Carneros AVA
Carneros AVA is a cool-climate American Viticultural Area spanning parts of Napa and Sonoma, renowned for its high-quality Pinot Noir and Chardonnay wines.
-
D.
Sonoma Valley
Sonoma Valley is a renowned wine-producing region in California celebrated for its vineyards, wineries, and scenic landscapes.
-
E.
North Coast AVA
North Coast AVA is a major California American Viticultural Area encompassing several renowned wine regions, including Napa Valley and Sonoma, known for producing high-quality wines.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69a24c06b3bc8190aa4ac89026115efc |
completed | Feb. 28, 2026, 1:59 a.m. |
| NER | Named-entity recognition | batch_69a24f0578808190be793d7a161c2cf5 |
completed | Feb. 28, 2026, 2:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a2c529506c81908da1e88f04d6b0a0 |
completed | Feb. 28, 2026, 10:36 a.m. |
Created at: Feb. 28, 2026, 2:03 a.m.