Triple
T9172300
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ozaukee County |
E220108
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Cedarburg |
E210645
|
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: Cedarburg | Statement: [Ozaukee County, contains, Cedarburg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cedarburg Context triple: [Ozaukee County, contains, Cedarburg]
-
A.
Cedarburg, Wisconsin
chosen
Cedarburg, Wisconsin is a historic small city in Ozaukee County known for its well-preserved 19th-century downtown, stone buildings, and cultural festivals just north of Milwaukee.
-
B.
Reedsburg
Reedsburg is a small city in south-central Wisconsin known for its agricultural surroundings, historic downtown, and role as a local commercial hub.
-
C.
Bayfield
Bayfield is a residential suburb of the historic town of Chepstow in Monmouthshire, Wales.
-
D.
Wauwatosa
Wauwatosa is a suburban city in Milwaukee County, Wisconsin, known for its residential neighborhoods, commercial districts, and proximity to Milwaukee.
-
E.
Wisconsin Rapids
Wisconsin Rapids is a small city in central Wisconsin known historically for its paper industry and location along the Wisconsin River.
- 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_69ca83e467108190abcae6a33b3d4dad |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccbf9fe79c819082f335c2fdd1c7d3 |
completed | April 1, 2026, 6:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d065cd42f481909ad3c68372041b1a |
completed | April 4, 2026, 1:13 a.m. |
Created at: March 30, 2026, 7:22 p.m.