Triple
T14758140
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marathon County, Wisconsin |
E346784
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Colby, Wisconsin
Colby, Wisconsin is a small city in central Wisconsin known for its dairy farming heritage and as the namesake of Colby cheese.
|
E1118505
|
NE FINISHED |
How this triple was built (4 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: Colby, Wisconsin | Statement: [Marathon County, Wisconsin, hasSettlement, Colby, Wisconsin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Colby, Wisconsin Context triple: [Marathon County, Wisconsin, hasSettlement, Colby, Wisconsin]
-
A.
Waubeka, Wisconsin
Waubeka, Wisconsin is an unincorporated community in Ozaukee County known as the birthplace of Flag Day in the United States.
-
B.
Kimball, Wisconsin
Kimball, Wisconsin is an unincorporated community located in Iron County in the northern part of the state.
-
C.
Bloomer, Wisconsin
Bloomer, Wisconsin is a small city in northwestern Wisconsin known for its rural community character and local agricultural roots.
-
D.
Bayfield, Wisconsin
Bayfield, Wisconsin is a small lakeside city on the shores of Lake Superior known as the gateway to the Apostle Islands National Lakeshore.
-
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. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Colby, Wisconsin Triple: [Marathon County, Wisconsin, hasSettlement, Colby, Wisconsin]
Generated description
Colby, Wisconsin is a small city in central Wisconsin known for its dairy farming heritage and as the namesake of Colby cheese.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Colby, Wisconsin Target entity description: Colby, Wisconsin is a small city in central Wisconsin known for its dairy farming heritage and as the namesake of Colby cheese.
-
A.
Waubeka, Wisconsin
Waubeka, Wisconsin is an unincorporated community in Ozaukee County known as the birthplace of Flag Day in the United States.
-
B.
Kimball, Wisconsin
Kimball, Wisconsin is an unincorporated community located in Iron County in the northern part of the state.
-
C.
Bloomer, Wisconsin
Bloomer, Wisconsin is a small city in northwestern Wisconsin known for its rural community character and local agricultural roots.
-
D.
Bayfield, Wisconsin
Bayfield, Wisconsin is a small lakeside city on the shores of Lake Superior known as the gateway to the Apostle Islands National Lakeshore.
-
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. chosen
Provenance (5 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_69d822e8896c819091169882f9b20486 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec7f0f5a48190af008352c26574d7 |
completed | April 14, 2026, 11:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe0ced0e2c8190a13e3b43e4d35560 |
completed | May 8, 2026, 4:18 p.m. |
| NEDg | Description generation | batch_69fe15f78180819088c7be010ef27029 |
completed | May 8, 2026, 4:57 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe165c1f188190963f9b78272f41f7 |
completed | May 8, 2026, 4:59 p.m. |
Created at: April 10, 2026, 1:30 a.m.