Triple
T21374174
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hamilton County, Kansas |
E527151
|
entity |
| Predicate | countySeat |
P383
|
FINISHED |
| Object | Syracuse, 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: Syracuse, Kansas | Statement: [Hamilton County, Kansas, countySeat, Syracuse, Kansas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Syracuse, Kansas Context triple: [Hamilton County, Kansas, countySeat, Syracuse, Kansas]
-
A.
Syracuse, Kansas
chosen
Syracuse, Kansas is a small city in western Kansas that serves as the administrative and commercial hub of Hamilton County.
-
B.
Tecumseh, Kansas
Tecumseh, Kansas is a small unincorporated community in northeastern Kansas, located just east of Topeka along the Kansas River.
-
C.
Sylvia, Kansas
Sylvia, Kansas is a small rural community located in Reno County in the central part of the state.
-
D.
Louisville, Kansas
Louisville, Kansas is a small rural community in Pottawatomie County that forms part of the Manhattan, Kansas region.
-
E.
Oswego, Kansas
Oswego, Kansas is a small city in Labette County that serves as a local hub in the southeastern region of the state.
- 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_69e0b51e80808190ba5cb05667af02a9 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8b0b3666c8190a83bb32eeba24105 |
completed | April 22, 2026, 11:27 a.m. |
Created at: April 16, 2026, 5:10 p.m.