Triple
T1443855
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marion County |
E31132
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Johnson County |
E60513
|
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: Johnson County | Statement: [Marion County, borderedBy, Johnson County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Johnson County Context triple: [Marion County, borderedBy, Johnson County]
-
A.
Johnson County, Kansas
chosen
Johnson County, Kansas is a populous suburban county in the Kansas City metropolitan area known for its affluent communities, strong public schools, and robust local economy.
-
B.
Shawnee County, Kansas
Shawnee County, Kansas is a county in northeastern Kansas that includes the state capital, Topeka, as its county seat and largest city.
-
C.
Douglas County
Douglas County is a county in western Nevada known for encompassing part of the Lake Tahoe region and serving as a key residential and recreational area near Carson City and the California border.
-
D.
Cole County
Cole County was the former name of what is now Union County in the southeastern part of South Dakota.
-
E.
Butler County
Butler County is a county in western Pennsylvania, north of Pittsburgh, known for its mix of suburban communities, rural landscapes, and growing industrial and service sectors.
- 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_69a4991633388190a4d61b5a98aa407a |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c533a158819084d0917776edb6e5 |
completed | March 1, 2026, 11:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad1c9b7cac81909700821cb7f39a33 |
completed | March 8, 2026, 6:52 a.m. |
Created at: March 1, 2026, 8 p.m.