Triple
T3956891
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iowa River |
E85803
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object | Wapello County |
E307173
|
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: Wapello County | Statement: [Iowa River, flowsThrough, Wapello County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wapello County Context triple: [Iowa River, flowsThrough, Wapello County]
-
A.
Wapello County, Iowa
chosen
Wapello County, Iowa is a county in southeastern Iowa known for its seat in Ottumwa and its mix of agricultural land, small towns, and historic sites.
-
B.
Saunders County
Saunders County is a county in eastern Nebraska known for its agricultural landscape and for having Wahoo as its county seat.
-
C.
Colusa County
Colusa County is a rural county in California’s Sacramento Valley known for its agricultural economy and small, historic communities.
-
D.
Osceola County, Iowa
Osceola County, Iowa is a small, predominantly rural county in the northwestern part of the state known for its agricultural economy and close-knit communities.
-
E.
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.
- 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_69aed93a96908190bcbdbfa718f155bd |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef95bbb9c8190bd64c5b7ea2f341a |
completed | March 9, 2026, 4:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b533b1bd1c81909d901ee334cb7b31 |
completed | March 14, 2026, 10:08 a.m. |
Created at: March 9, 2026, 3:31 p.m.