Triple
T21076116
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chequamegon Bay |
E519237
|
entity |
| Predicate | hasShorelineCity |
P969
|
FINISHED |
| Object | Washburn, Wisconsin |
—
|
NE NERFINISHED |
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: Washburn, Wisconsin | Statement: [Chequamegon Bay, hasShorelineCity, Washburn, Wisconsin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Washburn, Wisconsin Context triple: [Chequamegon Bay, hasShorelineCity, Washburn, Wisconsin]
-
A.
Washburn, Wisconsin
chosen
Washburn, Wisconsin is a small city on the shores of Lake Superior in northern Wisconsin known for its scenic waterfront and outdoor recreation.
-
B.
Wilson, Wisconsin
Wilson, Wisconsin is a small town located in Iron County in the northern part of the U.S. state of Wisconsin.
-
C.
Waterford, Wisconsin
Waterford, Wisconsin is a small village in Racine County known for its rural charm, proximity to the Fox River, and tight-knit community.
-
D.
Watertown, Wisconsin
Watertown, Wisconsin is a small city in southeastern Wisconsin known for its historic downtown, riverside setting, and early German-American heritage.
-
E.
Waupaca, Wisconsin
Waupaca, Wisconsin is a small city in central Wisconsin known for its Chain O’ Lakes, outdoor recreation, and role as a regional service and tourism center.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b506e59c8190849b71ed07929215 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e702d690dc8190839968b562e6b8bb |
completed | April 21, 2026, 4:53 a.m. |
Created at: April 16, 2026, 2:48 p.m.