Triple
T20074043
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | K-10 |
E499810
|
entity |
| Predicate | passesThrough |
P225
|
FINISHED |
| Object | De Soto, 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: De Soto, Kansas | Statement: [K-10, passesThrough, De Soto, Kansas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: De Soto, Kansas Context triple: [K-10, passesThrough, De Soto, Kansas]
-
A.
De Soto, Kansas
chosen
De Soto, Kansas is a small city in northeastern Kansas that forms part of the Kansas City metropolitan area.
-
B.
El Dorado, Kansas
El Dorado, Kansas is a small city in south-central Kansas known historically for its oil fields and as the county seat of Butler County.
-
C.
Seneca, Kansas
Seneca, Kansas is a small city in northeastern Kansas that serves as a local commercial and community hub for the surrounding rural region.
-
D.
WaKeeney, Kansas
WaKeeney, Kansas is a small city in northwestern Kansas known as a regional service center along Interstate 70 and for its historic downtown and annual Christmas light displays.
-
E.
St. John, Kansas
St. John, Kansas is a small city in central Kansas known for serving as the administrative and commercial hub of Stafford County.
- 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_69da627770948190997f486f9a2e370f |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66439efe881909a068c3f05022421 |
completed | April 20, 2026, 5:36 p.m. |
Created at: April 11, 2026, 3:40 p.m.