Triple
T12085017
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wisconsin Lutheran Seminary |
E287783
|
entity |
| Predicate | city |
P40
|
FINISHED |
| Object | Mequon |
E701670
|
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: Mequon | Statement: [Wisconsin Lutheran Seminary, city, Mequon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mequon Context triple: [Wisconsin Lutheran Seminary, city, Mequon]
-
A.
Mequon
chosen
Mequon is a suburban city in Ozaukee County, Wisconsin, known for its affluent residential character, extensive green spaces, and location just north of Milwaukee.
-
B.
Oconomowoc
Oconomowoc is a small lakeside city in southeastern Wisconsin known for its scenic waterfronts and historic downtown.
-
C.
Shorewood
Shorewood is a suburban city in the Minneapolis–Saint Paul metropolitan area of Minnesota, known for its residential neighborhoods near Lake Minnetonka.
-
D.
Shorewood
Shorewood is a residential neighborhood within the city of Burien, Washington, known for its suburban character and proximity to the Puget Sound shoreline.
-
E.
Muskego
Muskego is a suburban city in Waukesha County, Wisconsin, known for its residential communities and numerous lakes and parks.
- 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_69d6ab4964708190850585628b287b0c |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d91513bbb0819084a8bb877e03060c |
completed | April 10, 2026, 3:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f666bf1c819089de1235617e775b |
completed | May 2, 2026, 1:04 p.m. |
Created at: April 8, 2026, 9:48 p.m.