Triple
T20236385
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chili Bar Dam |
E498158
|
entity |
| Predicate | county |
P75
|
FINISHED |
| Object | El Dorado 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: El Dorado County | Statement: [Chili Bar Dam, county, El Dorado County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: El Dorado County Context triple: [Chili Bar Dam, county, El Dorado County]
-
A.
El Dorado County
chosen
El Dorado County is a county in the Sierra Nevada region of Northern California known for its Gold Rush history, outdoor recreation, and proximity to Lake Tahoe.
-
B.
Roosevelt County
Roosevelt County is a largely rural county in eastern New Mexico known for its agricultural economy and the city of Portales, home to Eastern New Mexico University.
-
C.
Lafayette County
Lafayette County is a small, rural county in northern Florida known for its forests, rivers, and agricultural character.
-
D.
Lafayette County
Lafayette County is a county in northern Mississippi best known as the home of the city of Oxford and the University of Mississippi (Ole Miss).
-
E.
Lafayette County
Lafayette County is a county in western Missouri known for its historic towns, agricultural landscape, and location along the Missouri River.
- 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_69da6274c58c81909c646eabed6f4f30 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6716a5af0819095ea419a4d1f0d1d |
completed | April 20, 2026, 6:33 p.m. |
Created at: April 11, 2026, 11:40 p.m.