Triple
T6621261
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lapeer County |
E149677
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Tuscola County |
E346143
|
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: Tuscola County | Statement: [Lapeer County, borderedBy, Tuscola County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tuscola County Context triple: [Lapeer County, borderedBy, Tuscola County]
-
A.
Tuscola County, Michigan
chosen
Tuscola County, Michigan is a largely rural county in Michigan's Thumb region, known for its agricultural landscape and small communities.
-
B.
Waushara County
Waushara County is a rural county in central Wisconsin known for its lakes, forests, and outdoor recreation.
-
C.
Shiawassee County
Shiawassee County is a largely rural county in central Michigan known for its small towns, agricultural landscape, and location between the Lansing and Flint metropolitan areas.
-
D.
Allegan County
Allegan County is a county in southwestern Michigan known for its mix of Lake Michigan shoreline, agricultural land, and small towns.
-
E.
Bayfield County
Bayfield County is a county in northern Wisconsin known for its Lake Superior shoreline, Apostle Islands, and extensive outdoor recreation opportunities.
- 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_69c687ed8a9c81908bb671717cb192ef |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6af7ccaa481908b383b4fd671fa78 |
completed | March 27, 2026, 4:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6f78f667c81908c2de74009c8e073 |
completed | March 27, 2026, 9:33 p.m. |
Created at: March 27, 2026, 1:58 p.m.