Triple
T11523205
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Neosho River |
E273218
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object | Oswego, Kansas |
E581335
|
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: Oswego, Kansas | Statement: [Neosho River, flowsThrough, Oswego, Kansas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oswego, Kansas Context triple: [Neosho River, flowsThrough, Oswego, Kansas]
-
A.
Oswego, Kansas
chosen
Oswego, Kansas is a small city in Labette County that serves as a local hub in the southeastern region of the state.
-
B.
Goessel, Kansas
Goessel, Kansas is a small rural city in central Kansas known for its strong Mennonite heritage and agricultural community.
-
C.
Tecumseh, Kansas
Tecumseh, Kansas is a small unincorporated community in northeastern Kansas, located just east of Topeka along the Kansas River.
-
D.
Oneida, Kansas
Oneida, Kansas is a small rural city located in Nemaha County in the northeastern part of the state.
-
E.
Osawatomie, Kansas
Osawatomie, Kansas is a small historic city in eastern Kansas known for its role in the Bleeding Kansas era and its association with abolitionist John Brown.
- 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_69d6aae3fbec8190a14632a5df2538b6 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d87fd26648819083de19bcddf8ad69 |
completed | April 10, 2026, 4:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f67c5a9dc881909b695f7e87dfcdf6 |
completed | May 2, 2026, 10:36 p.m. |
Created at: April 8, 2026, 9:37 p.m.