Triple
T2654652
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cedar Rapids metropolitan area |
E53979
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object | Mount Vernon, Iowa |
E215159
|
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: Mount Vernon, Iowa | Statement: [Cedar Rapids metropolitan area, hasCity, Mount Vernon, Iowa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mount Vernon, Iowa Context triple: [Cedar Rapids metropolitan area, hasCity, Mount Vernon, Iowa]
-
A.
Mount Vernon, Iowa
chosen
Mount Vernon, Iowa is a small city in eastern Iowa known for its historic downtown, hilly landscape, and as the home of Cornell College.
-
B.
Monticello, Iowa
Monticello, Iowa is a small city in eastern Iowa known for its agricultural community, local festivals, and role as a regional service center.
-
C.
Vinton, Iowa
Vinton, Iowa is a small Midwestern city in Benton County known for its historic downtown and role as a local agricultural and community hub.
-
D.
Vernon Springs, Iowa
Vernon Springs, Iowa is a small unincorporated rural community located in Howard County in northeastern Iowa.
-
E.
Shenandoah, Iowa
Shenandoah, Iowa is a small city in southwestern Iowa known historically as a regional agricultural and broadcasting center.
- 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_69af98d0dbd08190a317dfe1844840c5 |
completed | March 10, 2026, 4:06 a.m. |
Created at: March 6, 2026, 9:53 p.m.