Triple
T12255313
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iron County, Wisconsin |
E292084
|
entity |
| Predicate | largestCity |
P235
|
FINISHED |
| Object | Hurley, Wisconsin |
E972622
|
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: Hurley, Wisconsin | Statement: [Iron County, Wisconsin, largestCity, Hurley, Wisconsin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hurley, Wisconsin Context triple: [Iron County, Wisconsin, largestCity, Hurley, Wisconsin]
-
A.
Hurley, Wisconsin
chosen
Hurley, Wisconsin is a small city in northern Wisconsin known for its historic mining roots and location near the Upper Peninsula of Michigan.
-
B.
Elkhorn, Wisconsin
Elkhorn, Wisconsin is a small city in southeastern Wisconsin known as the administrative and commercial hub of Walworth County.
-
C.
Hudson, Wisconsin
Hudson, Wisconsin is a small city in western Wisconsin known as a scenic St. Croix River community with a historic downtown and popular recreational waterfront.
-
D.
Wilmot, Wisconsin
Wilmot, Wisconsin is a small unincorporated community in Kenosha County known for its proximity to the Wilmot Mountain ski and snowboard area.
-
E.
Lindina, Wisconsin
Lindina, Wisconsin is a small rural community located in Juneau County in the central part of the state.
- 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_69d6ab67950c8190be08450a06228c4b |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91cc9dd5081908880061d52351850 |
completed | April 10, 2026, 3:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f61e63da6081908840b1e37fd39b88 |
completed | May 2, 2026, 3:55 p.m. |
Created at: April 8, 2026, 9:52 p.m.