Triple
T3865659
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Warren County, Iowa |
E91845
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object | Norwalk, Iowa |
E214152
|
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: Norwalk, Iowa | Statement: [Warren County, Iowa, hasCity, Norwalk, Iowa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Norwalk, Iowa Context triple: [Warren County, Iowa, hasCity, Norwalk, Iowa]
-
A.
Norwalk, Iowa
chosen
Norwalk, Iowa is a small suburban city in Warren County that forms part of the Des Moines metropolitan area in central Iowa.
-
B.
Riverside, Iowa
Riverside, Iowa is a small city best known as the self-proclaimed future birthplace of Star Trek’s Captain James T. Kirk.
-
C.
Nashua, Iowa
Nashua, Iowa is a small city in northeastern Iowa known for its rural community character and proximity to the Cedar River.
-
D.
Loveland, Iowa
Loveland, Iowa is a small unincorporated rural community located in western Iowa near the Missouri River.
-
E.
Waukee, Iowa
Waukee, Iowa is a rapidly growing suburban city in the Des Moines metropolitan area known for its strong school system and family-friendly community.
- 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_69aed9645f348190a9868e7cef56ab7e |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeec3a253c81909df7dc0422ff7989 |
completed | March 9, 2026, 3:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b53375ba7c819092449fe911bfc4fa |
completed | March 14, 2026, 10:07 a.m. |
Created at: March 9, 2026, 3:19 p.m.