Triple
T14070616
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Decorah |
E338597
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Winneshiek County |
E144457
|
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: Winneshiek County | Statement: [Decorah, locatedIn, Winneshiek County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Winneshiek County Context triple: [Decorah, locatedIn, Winneshiek County]
-
A.
Winneshiek County
chosen
Winneshiek County is a county in northeastern Iowa known for its scenic Driftless Area landscape, Norwegian-American heritage, and county seat of Decorah.
-
B.
Poweshiek County
Poweshiek County is a rural county in central Iowa known for its agricultural landscape and small communities, including the town of Deep River.
-
C.
Iowa County
Iowa County is a county in eastern Iowa known for its rural landscapes, small towns, and historic communities such as the Amana Colonies.
-
D.
Waushara County
Waushara County is a rural county in central Wisconsin known for its lakes, forests, and outdoor recreation.
-
E.
Vernon County
Vernon County is a county located in the western part of the U.S. state of Missouri, known for its largely rural character and the county seat of Nevada.
- 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_69d81c67ba6c819091935650dfb3b895 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de5c5aa828819098ef55a70a0decbc |
completed | April 14, 2026, 3:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd1930da6481908d17adc6f7bbedd4 |
completed | May 7, 2026, 10:58 p.m. |
Created at: April 9, 2026, 10:21 p.m.