Triple
T687116
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marion County, Iowa |
E13308
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object | Knoxville, Iowa |
E89788
|
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: Knoxville, Iowa | Statement: [Marion County, Iowa, hasCity, Knoxville, Iowa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Knoxville, Iowa Context triple: [Marion County, Iowa, hasCity, Knoxville, Iowa]
-
A.
Knoxville, Iowa
chosen
Knoxville, Iowa is a small city in south-central Iowa known for its historic charm and proximity to the famous Knoxville Raceway, a major hub for sprint car racing.
-
B.
Little Rock, Iowa
Little Rock, Iowa is a small rural city in northwestern Iowa known for its close-knit community and agricultural surroundings.
-
C.
Oakland, Iowa
Oakland, Iowa is a small rural city in southwestern Iowa known for its agricultural community and location along the West Nishnabotna River.
-
D.
Waterloo, Iowa
Waterloo, Iowa is a mid-sized city in northeastern Iowa known as an industrial and commercial hub of the Cedar Valley region along the Cedar River.
-
E.
Tipton, Iowa
Tipton, Iowa is a small Midwestern city that serves as the administrative and commercial hub of Cedar 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_69a4933e0f98819097d22766c49b61b8 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4a093ac988190bb339616a3ed5adb |
completed | March 1, 2026, 8:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a6732d5a208190ac9e0f3d0fab7a0d |
completed | March 3, 2026, 5:35 a.m. |
Created at: March 1, 2026, 7:36 p.m.