Triple
T19175520
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2018 Camp Fire |
E469426
|
entity |
| Predicate | county |
P75
|
FINISHED |
| Object | Butte County |
—
|
NE NERFINISHED |
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: Butte County | Statement: [2018 Camp Fire, county, Butte County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Butte County Context triple: [2018 Camp Fire, county, Butte County]
-
A.
Butte County
chosen
Butte County is a largely rural county in Northern California known for its agricultural production, college town of Chico, and proximity to the Sierra Nevada foothills.
-
B.
Butte County
Butte County is a sparsely populated rural county in eastern Idaho known for its high desert landscapes and proximity to the Idaho National Laboratory.
-
C.
Mariposa County
Mariposa County is a rural county in central California best known as the gateway to much of Yosemite National Park and the Sierra Nevada.
-
D.
Alpine County
Alpine County is a sparsely populated, mountainous county in eastern California known for its high Sierra Nevada landscapes and outdoor recreation.
-
E.
Sierra County
Sierra County is a sparsely populated, mountainous county in northeastern California known for its rugged Sierra Nevada landscapes and historic Gold Rush-era towns.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dd09d5a081909ae43c286651ae5a |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5f166d3888190adaf6dc8531a8ed1 |
completed | April 20, 2026, 9:27 a.m. |
Created at: April 10, 2026, 12:06 p.m.