Triple
T3482639
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Napa County |
E73528
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object | Napa |
E7396
|
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 | Statement: [Napa County, hasCity, Napa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Napa Context triple: [Napa County, hasCity, Napa]
-
A.
Napa
chosen
Napa is a city in Northern California that serves as the commercial and cultural hub of the renowned Napa Valley wine region.
-
B.
Napa Valley
Napa Valley is a renowned wine-producing region in Northern California, famous for its vineyards, wineries, and picturesque landscapes.
-
C.
Sonoma, California
Sonoma, California is a historic city in California's Wine Country known for its vineyards, colonial-era plaza, and role in the early history of the state.
-
D.
Calistoga
Calistoga is a small resort town in California’s Napa Valley known for its wineries, hot springs, and relaxed, historic charm.
-
E.
Calistoga AVA
Calistoga AVA is a recognized American Viticultural Area in northern Napa Valley known for its warm climate and production of robust Cabernet Sauvignon and other premium 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_69ad85b3c9b08190857cae74c7f36da9 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adbb76b5188190bf8f8a3f646a7184 |
completed | March 8, 2026, 6:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4cdce42688190b6f33b39649fedd7 |
completed | March 14, 2026, 2:54 a.m. |
Created at: March 8, 2026, 3:17 p.m.