Triple
T1273538
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boyden, Iowa |
E15761
|
entity |
| Predicate | county |
P75
|
FINISHED |
| Object | Sioux County |
E1705
|
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: Sioux County | Statement: [Boyden, Iowa, county, Sioux County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sioux County Context triple: [Boyden, Iowa, county, Sioux County]
-
A.
Black Hawk County
Black Hawk County is a county in northeastern Iowa that includes the city of Cedar Falls and has Waterloo as its county seat.
-
B.
Sioux County, Iowa
chosen
Sioux County, Iowa is a rural county in northwestern Iowa known for its strong Dutch-American heritage and agricultural economy.
-
C.
Winneshiek County
Winneshiek County is a county in northeastern Iowa known for its scenic Driftless Area landscape, Norwegian-American heritage, and county seat of Decorah.
-
D.
Poweshiek County, Iowa
Poweshiek County, Iowa is a rural county in central Iowa known for its agricultural landscape and for being home to Grinnell College in the city of Grinnell.
-
E.
Crawford County
Crawford County is a rural county in central Georgia known for its agricultural landscape and small-town communities west of Macon.
- 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_69a4935a94308190bb92555b79032824 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4c06d73608190be87be49c4367072 |
completed | March 1, 2026, 10:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acce5dac54819097ff1fe72a19380d |
completed | March 8, 2026, 1:18 a.m. |
Created at: March 1, 2026, 7:50 p.m.