Triple
T1606993
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kansas River |
E34526
|
entity |
| Predicate | crosses |
P416
|
FINISHED |
| Object | Riley County, Kansas |
E220974
|
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: Riley County, Kansas | Statement: [Kansas River, crosses, Riley County, Kansas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Riley County, Kansas Context triple: [Kansas River, crosses, Riley County, Kansas]
-
A.
Riley County, Kansas
chosen
Riley County, Kansas is a county in northeastern Kansas known for being home to the city of Manhattan and Kansas State University.
-
B.
Shawnee County, Kansas
Shawnee County, Kansas is a county in northeastern Kansas that includes the state capital, Topeka, as its county seat and largest city.
-
C.
Finney County, Kansas
Finney County, Kansas is a county in southwestern Kansas known for its agricultural economy and as the home of Garden City, a regional commercial and cultural center.
-
D.
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.
-
E.
Ellis County, Kansas
Ellis County, Kansas is a county in central Kansas known for its regional hub city of Hays, historical ties to Volga German settlers, and a mix of agricultural and educational institutions.
- 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_69a885fea6a481909fe83ba6441f1774 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a9096cd0b88190bac21b46c3ed453f |
completed | March 5, 2026, 4:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae95d90d2c8190b826a0b988537abf |
completed | March 9, 2026, 9:41 a.m. |
Created at: March 4, 2026, 7:28 p.m.