Triple
T15047230
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Madison Metro |
E379260
|
entity |
| Predicate | alsoServes |
P6337
|
FINISHED |
| Object | Maple Bluff, Wisconsin |
E1028275
|
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: Maple Bluff, Wisconsin | Statement: [Madison Metro, alsoServes, Maple Bluff, Wisconsin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maple Bluff, Wisconsin Context triple: [Madison Metro, alsoServes, Maple Bluff, Wisconsin]
-
A.
Maple Bluff, Wisconsin
chosen
Maple Bluff, Wisconsin is a small, affluent village near Madison best known as the home of the Wisconsin Governor's Mansion.
-
B.
Waubeka, Wisconsin
Waubeka, Wisconsin is an unincorporated community in Ozaukee County known as the birthplace of Flag Day in the United States.
-
C.
Bloomer, Wisconsin
Bloomer, Wisconsin is a small city in northwestern Wisconsin known for its rural community character and local agricultural roots.
-
D.
Clearfield, Wisconsin
Clearfield, Wisconsin is a small unincorporated community located within Juneau County in the central part of the state.
-
E.
St. Germain, Wisconsin
St. Germain, Wisconsin is a small Northwoods town known for its lakes, outdoor recreation, and tourism in northern Wisconsin.
- 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_69d85cd64d108190853797a95c11cc45 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69deda8e64e48190873104a02a676ff3 |
completed | April 15, 2026, 12:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe9de73614819098b7a88624407d0e |
completed | May 9, 2026, 2:37 a.m. |
Created at: April 10, 2026, 3 a.m.