Triple
T16535191
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Butler County, Iowa |
E401672
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object | Parkersburg, Iowa |
E685231
|
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: Parkersburg, Iowa | Statement: [Butler County, Iowa, hasCity, Parkersburg, Iowa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Parkersburg, Iowa Context triple: [Butler County, Iowa, hasCity, Parkersburg, Iowa]
-
A.
Parkersburg, Iowa
chosen
Parkersburg, Iowa is a small rural city in Butler County known for its tight-knit community and Midwestern agricultural surroundings.
-
B.
Pulaski, Iowa
Pulaski, Iowa is a small rural town located in Davis County in the southeastern part of the state.
-
C.
Prairieburg, Iowa
Prairieburg, Iowa is a small rural city located in eastern Iowa within Linn County.
-
D.
Williamsburg, Iowa
Williamsburg, Iowa is a small city in eastern Iowa known for its rural community character and proximity to the Tanger Outlet Center shopping area.
-
E.
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.
- 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_69d88384bc30819084229e7dcdc39a41 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e345574d88819094548367bf983078 |
completed | April 18, 2026, 8:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a006093244081909ae74674de966d6d |
completed | May 10, 2026, 10:40 a.m. |
Created at: April 10, 2026, 5:15 a.m.