Triple
T18579146
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Knoxville Municipal Airport |
E454062
|
entity |
| Predicate | cityServed |
P82
|
FINISHED |
| Object | Knoxville, Iowa |
—
|
NE NERFINISHED |
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: [Knoxville Municipal Airport, cityServed, Knoxville, Iowa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Knoxville, Iowa Context triple: [Knoxville Municipal Airport, cityServed, 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.
Clarksville, Iowa
Clarksville, Iowa is a small rural city in northeastern Iowa known for its close-knit community and location along the Shell Rock River.
-
C.
Little Rock, Iowa
Little Rock, Iowa is a small rural city in northwestern Iowa known for its close-knit community and agricultural surroundings.
-
D.
Jacksonville, Iowa
Jacksonville, Iowa is a small rural community located in Shelby County in western Iowa.
-
E.
Washington, Iowa
Washington, Iowa is a small city in southeastern Iowa known for its historic downtown, agricultural surroundings, and role as a local commercial and cultural hub.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8d38974308190a9174430ef256b73 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e543ce63188190b14a37c5ca9c2726 |
completed | April 19, 2026, 9:06 p.m. |
Created at: April 10, 2026, 11:43 a.m.