Triple
T14131411
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Madison metropolitan area |
E350175
|
entity |
| Predicate | includesCity |
P3207
|
FINISHED |
| Object | Verona, Wisconsin |
E486225
|
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: Verona, Wisconsin | Statement: [Madison metropolitan area, includesCity, Verona, Wisconsin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Verona, Wisconsin Context triple: [Madison metropolitan area, includesCity, Verona, Wisconsin]
-
A.
Verona, Wisconsin
chosen
Verona, Wisconsin is a small city near Madison best known as the home of healthcare software giant Epic Systems.
-
B.
Vernon, Wisconsin
Vernon, Wisconsin is a small town located in Iron County in the northern part of the U.S. state of Wisconsin.
-
C.
Marinette, Wisconsin
Marinette, Wisconsin is a small industrial city in northeastern Wisconsin on the shore of Green Bay, known historically for shipbuilding and its location opposite Menominee, Michigan.
-
D.
Finley, Wisconsin
Finley, Wisconsin is a small unincorporated community located in rural Juneau County in central Wisconsin.
-
E.
Bristol, Wisconsin
Bristol, Wisconsin is a small village in Kenosha County known for its rural character and location along major regional routes between Lake Geneva and the Chicago–Milwaukee corridor.
- 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_69d827865f608190b311820428ae027b |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de610cece88190b4a86500677e5938 |
completed | April 14, 2026, 3:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcdf10e3948190b21968bc39094a8e |
completed | May 7, 2026, 6:50 p.m. |
Created at: April 9, 2026, 11:03 p.m.