Triple
T11369684
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nemaha County, Kansas |
E269308
|
entity |
| Predicate | hasJurisdiction |
P285
|
FINISHED |
| Object | Wetmore, Kansas |
E928242
|
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: Wetmore, Kansas | Statement: [Nemaha County, Kansas, hasJurisdiction, Wetmore, Kansas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wetmore, Kansas Context triple: [Nemaha County, Kansas, hasJurisdiction, Wetmore, Kansas]
-
A.
Wetmore, Kansas
chosen
Wetmore, Kansas is a small rural city located in northeastern Kansas within Nemaha County.
-
B.
Wilsey, Kansas
Wilsey, Kansas is a small rural city located in central Kansas within the Flint Hills region.
-
C.
Wamego, Kansas
Wamego, Kansas is a small city in northeastern Kansas known for its agricultural roots, community-focused atmosphere, and attractions like its Oz-themed tourism sites.
-
D.
Willard, Kansas
Willard, Kansas is a small rural city located in Shawnee County in the northeastern part of the state.
-
E.
Alta Vista, Kansas
Alta Vista, Kansas is a small rural city in eastern Kansas that functions as part of the broader Manhattan-area community.
- 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_69d6aacca1048190b39dbbc2174616fa |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7ea89e1148190b0ca29db9d7e2cbd |
completed | April 9, 2026, 6:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ef81c65ba48190a8e2b9d7078cd978 |
completed | April 27, 2026, 3:33 p.m. |
Created at: April 8, 2026, 9:33 p.m.