Triple
T16592698
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grundy County, Iowa |
E403129
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object | Dike, Iowa |
E252370
|
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: Dike, Iowa | Statement: [Grundy County, Iowa, containsSettlement, Dike, Iowa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dike, Iowa Context triple: [Grundy County, Iowa, containsSettlement, Dike, Iowa]
-
A.
Dike, Iowa
chosen
Dike, Iowa is a small city in Grundy County that forms part of the Cedar Valley region in northeastern Iowa.
-
B.
Waubeek, Iowa
Waubeek, Iowa is a small unincorporated community and rural locality in eastern Iowa known for its historic mill and proximity to the Wapsipinicon River.
-
C.
Wiota, Iowa
Wiota, Iowa is a small rural city located in Cass County in the southwestern part of the state.
-
D.
DeWitt, Iowa
DeWitt, Iowa is a small city in eastern Iowa known as a local commercial and residential hub within Clinton County.
-
E.
Ocheyedan, Iowa
Ocheyedan, Iowa is a small rural city in northwestern Iowa known for its agricultural surroundings and proximity to the Ocheyedan Mound, one of the state's notable natural landmarks.
- 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_69d88387363c8190a97a0c942130de97 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e35d6fcaa48190b1ba7dc3b792041a |
completed | April 18, 2026, 10:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00759dea5c819083fe9fb7dee37a35 |
completed | May 10, 2026, 12:10 p.m. |
Created at: April 10, 2026, 5:16 a.m.