Triple
T1122240
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dry Creek Valley AVA |
E24636
|
entity |
| Predicate | waterFeature |
P20923
|
FINISHED |
| Object | Dry Creek |
E273202
|
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: Dry Creek | Statement: [Dry Creek Valley AVA, waterFeature, Dry Creek]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dry Creek Context triple: [Dry Creek Valley AVA, waterFeature, Dry Creek]
-
A.
Dry Creek
chosen
Dry Creek is a stream in Sonoma County, California, that lends its name to the surrounding Dry Creek Valley wine region.
-
B.
Wildcat Creek
Wildcat Creek is a stream in the San Francisco Bay Area that drains the hills of Contra Costa County and flows through urban and parkland areas before emptying into San Pablo Bay.
-
C.
Adobe Creek
Adobe Creek is a small stream in Santa Clara County, California, historically significant for inspiring the name of the software company Adobe Inc.
-
D.
Tokopah Creek
Tokopah Creek is a mountain stream in California’s Sierra Nevada that flows through Tokopah Valley in Sequoia National Park, known for its scenic cascades and alpine surroundings.
-
E.
Hannibal Creek
Hannibal Creek is a waterway after which the city of Hannibal, Missouri, is named.
- 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_69a4940712c88190aa244f3fc6070a65 |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bbbf71188190b82c8fff9d5ac01a |
completed | March 1, 2026, 10:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af2b3a21248190aca7710ae6ad6478 |
completed | March 9, 2026, 8:19 p.m. |
Created at: March 1, 2026, 7:44 p.m.