Triple
T2654657
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cedar Rapids metropolitan area |
E53979
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object | Walker, Iowa |
E215160
|
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: Walker, Iowa | Statement: [Cedar Rapids metropolitan area, hasCity, Walker, Iowa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Walker, Iowa Context triple: [Cedar Rapids metropolitan area, hasCity, Walker, Iowa]
-
A.
Walker, Iowa
chosen
Walker, Iowa is a small rural city located in Linn County in the eastern part of the U.S. state of Iowa.
-
B.
Waverly, Iowa
Waverly, Iowa is a small city in northeastern Iowa known as the county seat of Bremer County and home to Wartburg College.
-
C.
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.
-
D.
Little Rock, Iowa
Little Rock, Iowa is a small rural city in northwestern Iowa known for its close-knit community and agricultural surroundings.
-
E.
Wiota, Iowa
Wiota, Iowa is a small rural city located in Cass County in the southwestern part of the state.
- 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_69ab495e192081909c77b622e8e7e15a |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abd932a35881909568839589f12062 |
completed | March 7, 2026, 7:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b0862d08e48190a40af283184991ee |
completed | March 10, 2026, 8:59 p.m. |
Created at: March 6, 2026, 9:53 p.m.