Triple
T20282216
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jefferson County, Kansas |
E503177
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object | Oskaloosa, 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: Oskaloosa, Kansas | Statement: [Jefferson County, Kansas, hasCity, Oskaloosa, Kansas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oskaloosa, Kansas Context triple: [Jefferson County, Kansas, hasCity, Oskaloosa, Kansas]
-
A.
Oskaloosa, Kansas
chosen
Oskaloosa, Kansas is a small city in northeastern Kansas that serves as the administrative and commercial hub of Jefferson County.
-
B.
Oswego, Kansas
Oswego, Kansas is a small city in Labette County that serves as a local hub in the southeastern region of the state.
-
C.
Osborne, Kansas
Osborne, Kansas is a small rural city in north-central Kansas that serves as the county seat of Osborne County and a local hub for agriculture and transportation.
-
D.
Beloit, Kansas
Beloit, Kansas is a small city in north-central Kansas that serves as a regional hub for agriculture, education, and local commerce.
-
E.
Iola, Kansas
Iola, Kansas is a small city that serves as the county seat of Allen County and a local economic and cultural hub in southeastern 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_69e0b4b0e79c8190bd61f22ef1329fa8 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6768f86448190842389a98b93a918 |
completed | April 20, 2026, 6:55 p.m. |
Created at: April 16, 2026, 10:39 a.m.