Triple
T19572185
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Little Apple |
E489745
|
entity |
| Predicate | county |
P75
|
FINISHED |
| Object | Riley County |
—
|
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: Riley County | Statement: [The Little Apple, county, Riley County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Riley County Context triple: [The Little Apple, county, Riley County]
-
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.
Hutchinson County
Hutchinson County is a rural county in the Texas Panhandle known for its oil and gas production and small, closely knit communities.
-
C.
Pawnee County
Pawnee County is a rural county in central Kansas known for its agricultural landscape and small communities such as Burdett.
-
D.
Cloud County, Kansas
Cloud County, Kansas is a rural county in north-central Kansas known for its agricultural landscape, small communities, and location along the Republican River.
-
E.
Chase County
Chase County is a rural county in east-central Kansas known for its tallgrass prairie landscapes within the Flint Hills region.
- 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_69d8e8dd9374819098e36349b3211663 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6402103208190b80acdfa82b7a9c4 |
completed | April 20, 2026, 3:02 p.m. |
Created at: April 10, 2026, 1:42 p.m.