Triple
T19305879
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Concordia, Kansas |
E482826
|
entity |
| Predicate | county |
P75
|
FINISHED |
| Object | Cloud County, Kansas |
—
|
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: Cloud County, Kansas | Statement: [Concordia, Kansas, county, Cloud County, Kansas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cloud County, Kansas Context triple: [Concordia, Kansas, county, Cloud County, Kansas]
-
A.
Cloud County, Kansas
chosen
Cloud County, Kansas is a rural county in north-central Kansas known for its agricultural landscape, small communities, and location along the Republican River.
-
B.
Butler County, Kansas
Butler County, Kansas is a county in south-central Kansas named in honor of U.S. Senator Andrew Butler.
-
C.
Riley County, Kansas
Riley County, Kansas is a county in northeastern Kansas known for being home to the city of Manhattan and Kansas State University.
-
D.
Sedgwick County, Kansas
Sedgwick County, Kansas is a county in south-central Kansas best known for containing Wichita, the state’s largest city and a major regional economic and cultural center.
-
E.
Douglas County, Kansas
Douglas County, Kansas is a county in northeastern Kansas best known as the home of the city of Lawrence and the University of Kansas.
- 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_69d8e8d04d5c8190baa816986f2b1d1e |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e604c84fe08190869463bdd0324160 |
completed | April 20, 2026, 10:49 a.m. |
Created at: April 10, 2026, 1:31 p.m.