Triple
T5797440
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sheboygan Red Skins |
E128541
|
entity |
| Predicate | homeCity |
P263
|
FINISHED |
| Object | Sheboygan |
E393073
|
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: Sheboygan | Statement: [Sheboygan Red Skins, homeCity, Sheboygan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sheboygan Context triple: [Sheboygan Red Skins, homeCity, Sheboygan]
-
A.
Sheboygan, Wisconsin
chosen
Sheboygan, Wisconsin is a city on the western shore of Lake Michigan known for its maritime heritage, bratwurst culture, and freshwater surfing.
-
B.
La Crosse
La Crosse is a mid-sized city in western Wisconsin known for its location along the Mississippi River, historic downtown, and regional educational and healthcare institutions.
-
C.
Wisconsin Rapids
Wisconsin Rapids is a small city in central Wisconsin known historically for its paper industry and location along the Wisconsin River.
-
D.
Kenosha
Kenosha is a mid-sized city in southeastern Wisconsin located on the shore of Lake Michigan between Milwaukee and Chicago.
-
E.
Waupun, Wisconsin
Waupun, Wisconsin is a small city in Dodge and Fond du Lac counties known for its historic correctional institutions and prominent public sculptures, including the famous "End of the Trail" statue.
- 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_69c00845ca68819081a2ce3ecca577f7 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02a945fe0819095e62d480c84a2b5 |
completed | March 22, 2026, 5:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0b0d71b7881909108c7347ce91317 |
completed | March 23, 2026, 3:17 a.m. |
Created at: March 22, 2026, 3:51 p.m.