Triple
T12063579
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Madison County, Iowa |
E287235
|
entity |
| Predicate | hasUnincorporatedCommunity |
P6345
|
FINISHED |
| Object | Bevington, Iowa |
E395914
|
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: Bevington, Iowa | Statement: [Madison County, Iowa, hasUnincorporatedCommunity, Bevington, Iowa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bevington, Iowa Context triple: [Madison County, Iowa, hasUnincorporatedCommunity, Bevington, Iowa]
-
A.
Bevington, Iowa
chosen
Bevington, Iowa is a small rural city located in south-central Iowa within the Des Moines metropolitan area.
-
B.
Bussey, Iowa
Bussey, Iowa is a small rural city located in Marion County in the south-central part of the state.
-
C.
Vinton, Iowa
Vinton, Iowa is a small Midwestern city in Benton County known for its historic downtown and role as a local agricultural and community hub.
-
D.
Mount Pleasant, Iowa
Mount Pleasant, Iowa is a small city in southeastern Iowa known as the county seat of Henry County and home to Iowa Wesleyan University and the annual Midwest Old Threshers Reunion.
-
E.
Bassett, Iowa
Bassett, Iowa is a small rural community located in Chickasaw County in northeastern Iowa.
- 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_69d6ab4846e081908ee7bbd66a6d3459 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d90440dd988190ae2b80367aceb6f7 |
completed | April 10, 2026, 2:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f654eb1881908d656009f1362ecf |
completed | May 2, 2026, 1:04 p.m. |
Created at: April 8, 2026, 9:48 p.m.