Triple
T15947154
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Allamakee County, Iowa |
E386713
|
entity |
| Predicate | countySeat |
P383
|
FINISHED |
| Object | Waukon, Iowa |
E340167
|
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: Waukon, Iowa | Statement: [Allamakee County, Iowa, countySeat, Waukon, Iowa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Waukon, Iowa Context triple: [Allamakee County, Iowa, countySeat, Waukon, Iowa]
-
A.
Waukon, Iowa
chosen
Waukon, Iowa is a small city that serves as the county seat of Allamakee County in the northeastern part of the state.
-
B.
Wheatland, Iowa
Wheatland, Iowa is a small rural city in eastern Iowa known for its agricultural community and location within Clinton County.
-
C.
Waverly, Iowa
Waverly, Iowa is a small city in northeastern Iowa known as the county seat of Bremer County and home to Wartburg College.
-
D.
Waucoma, Iowa
Waucoma, Iowa is a small rural city located in northeastern Iowa within Fayette County.
-
E.
Wahpeton, Iowa
Wahpeton, Iowa is a small lakeside community in northern Iowa known for its location near the Iowa Great Lakes in Dickinson County.
- 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_69d86da882448190a82ea962fe343b79 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e156d1a4c08190afc325491ba38870 |
completed | April 16, 2026, 9:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffc3bfe72c819095f40a255bcd7ad5 |
completed | May 9, 2026, 11:31 p.m. |
Created at: April 10, 2026, 4:53 a.m.