Triple
T22833809
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gering |
E565884
|
entity |
| Predicate | county |
P75
|
FINISHED |
| Object | Scotts Bluff 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: Scotts Bluff County | Statement: [Gering, county, Scotts Bluff County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Scotts Bluff County Context triple: [Gering, county, Scotts Bluff County]
-
A.
Scotts Bluff County
chosen
Scotts Bluff County is a county in western Nebraska known for its prominent bluffs and historic landmarks along the Oregon Trail.
-
B.
Niobrara County
Niobrara County is a sparsely populated county in eastern Wyoming known for its ranching, rolling plains, and small-town communities such as its seat, Lusk.
-
C.
Cheyenne County
Cheyenne County is a sparsely populated rural county in eastern Colorado known for its agricultural economy and wide-open High Plains landscape.
-
D.
Fremont County
Fremont County is a rural county in the southwestern corner of Iowa known for its agricultural landscape and small communities.
-
E.
Fremont County
Fremont County is a county in central Colorado known for its rugged terrain, Royal Gorge attractions, and the city of Cañon City as its county seat.
- 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_69e24585ab1c81909b2b5065d15805d5 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17e2d830881908d69929b854aad66 |
completed | April 29, 2026, 3:42 a.m. |
Created at: April 17, 2026, 3:35 p.m.