Triple
T6158836
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meyers Beach |
E137389
|
entity |
| Predicate | locatedInCounty |
P40
|
FINISHED |
| Object | Bayfield County |
E592825
|
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: Bayfield County | Statement: [Meyers Beach, locatedInCounty, Bayfield County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bayfield County Context triple: [Meyers Beach, locatedInCounty, Bayfield County]
-
A.
Bayfield County
chosen
Bayfield County is a county in northern Wisconsin known for its Lake Superior shoreline, Apostle Islands, and extensive outdoor recreation opportunities.
-
B.
Manitowoc County
Manitowoc County is a county in eastern Wisconsin along Lake Michigan, known for its mix of agricultural communities, manufacturing centers, and the city of Manitowoc as its county seat.
-
C.
Manistee County
Manistee County is a county in the northwestern Lower Peninsula of Michigan, known for its Lake Michigan shoreline, forests, and outdoor recreation.
-
D.
Waushara County
Waushara County is a rural county in central Wisconsin known for its lakes, forests, and outdoor recreation.
-
E.
Alcona County
Alcona County is a rural county in northeastern Lower Michigan known for its forests, inland lakes, and Lake Huron shoreline.
- 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_69c008a54fc88190b6ce4416490ca79d |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05d32ef548190bc215d052d3497fe |
completed | March 22, 2026, 9:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c64b9dc6d08190919aa58e05c25635 |
completed | March 27, 2026, 9:19 a.m. |
Created at: March 22, 2026, 4:17 p.m.