Triple
T7468520
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trego County, Kansas |
E176441
|
entity |
| Predicate | hasJurisdiction |
P285
|
FINISHED |
| Object | WaKeeney, Kansas |
E691129
|
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: WaKeeney, Kansas | Statement: [Trego County, Kansas, hasJurisdiction, WaKeeney, Kansas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: WaKeeney, Kansas Context triple: [Trego County, Kansas, hasJurisdiction, WaKeeney, Kansas]
-
A.
WaKeeney, Kansas
chosen
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.
-
B.
Wilson, Kansas
Wilson, Kansas is a small rural city in central Kansas known for its Czech heritage and location near Wilson Lake.
-
C.
De Soto, Kansas
De Soto, Kansas is a small city in northeastern Kansas that forms part of the Kansas City metropolitan area.
-
D.
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.
-
E.
Ellsworth, Kansas
Ellsworth, Kansas is a small central Kansas city historically known as a 19th-century cattle town and later as the site of institutions such as St. Joseph Military Academy.
- 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_69c69f223fd88190b4c69b95d7cbeeda |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f3f6f23881908e3e80b0c7335a15 |
completed | March 27, 2026, 9:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c9721e3d488190a7e7d0f0e8d0b97f |
completed | March 29, 2026, 6:40 p.m. |
Created at: March 27, 2026, 3:40 p.m.