Triple
T18089042
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shoshone County |
E432916
|
entity |
| Predicate | borders |
P224
|
FINISHED |
| Object | Clearwater 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: Clearwater County | Statement: [Shoshone County, borders, Clearwater County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Clearwater County Context triple: [Shoshone County, borders, Clearwater County]
-
A.
Clearwater County
chosen
Clearwater County is a rural county in north-central Idaho known for its forested mountains, rivers, and outdoor recreation opportunities.
-
B.
Chippewa County
Chippewa County is a county in western Minnesota known for its agricultural landscape, small rural communities, and location along several rivers and waterways.
-
C.
Chippewa County
Chippewa County is a county-level local government jurisdiction in the U.S. state of Michigan that administers regional services and infrastructure for its residents.
-
D.
Steele County
Steele County is a rural county in eastern North Dakota known for its agricultural landscape and small, close-knit communities.
-
E.
Steele County
Steele County is a county in southern Minnesota known for its agricultural economy and county seat, Owatonna.
- 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_69d8b907d05c819083cc3bd6021089e6 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4dd16e2148190a63cc981898e8ade |
completed | April 19, 2026, 1:48 p.m. |
Created at: April 10, 2026, 10:27 a.m.