Triple
T22309805
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Buhl, Idaho |
E551482
|
entity |
| Predicate | county |
P75
|
FINISHED |
| Object | Twin Falls 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: Twin Falls County | Statement: [Buhl, Idaho, county, Twin Falls County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Twin Falls County Context triple: [Buhl, Idaho, county, Twin Falls County]
-
A.
Twin Falls County, Idaho
chosen
Twin Falls County, Idaho is a county in south-central Idaho known for the city of Twin Falls, the Snake River Canyon, and Shoshone Falls.
-
B.
Bannock County, Idaho
Bannock County, Idaho is a county in southeastern Idaho that includes the city of Pocatello and is part of the Pocatello metropolitan area.
-
C.
Bingham County, Idaho
Bingham County, Idaho is a largely rural county in eastern Idaho known for its agricultural production, especially potatoes, and its county seat of Blackfoot.
-
D.
Bannock County
Bannock County is a county in southeastern Idaho, United States, known for encompassing the city of Pocatello, a regional economic and educational hub.
-
E.
Idaho County
Idaho County is a large, sparsely populated county in north-central Idaho known for its rugged wilderness areas, including parts of the Salmon River and extensive national forest lands.
- 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_69e11e46c0188190800181a4233f28fe |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1574d53148190a1ec07f849e1ae9d |
completed | April 29, 2026, 12:56 a.m. |
Created at: April 16, 2026, 8:42 p.m.