Triple
T5468665
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Idaho |
E122775
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Clearwater County |
E439449
|
NE FINISHED |
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: [North Idaho, contains, Clearwater County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Clearwater County Context triple: [North Idaho, contains, 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.
Forest County
Forest County is a sparsely populated, heavily forested rural county in northwestern Pennsylvania known for its extensive public lands and outdoor recreation.
-
C.
Boundary County
Boundary County is a rural county in the far northern tip of Idaho, known for its forests, mountains, and location along the Canadian border.
-
D.
Ogemaw County
Ogemaw County is a rural county in the northeastern Lower Peninsula of Michigan, known for its forests, lakes, and outdoor recreation opportunities.
-
E.
Roseau County
Roseau County is a rural county in northwestern Minnesota known for its agriculture, forests, and proximity to the Canadian border.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69bd4643f16081908d7f29e08096115a |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd92198ea08190a08357f3756572a2 |
completed | March 20, 2026, 6:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf77b59ef881909c5968194336b101 |
completed | March 22, 2026, 5:01 a.m. |
Created at: March 20, 2026, 2:09 p.m.