Triple
T11229939
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Juneau County, Wisconsin |
E265793
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object |
Lindina, Wisconsin
Lindina, Wisconsin is a small rural community located in Juneau County in the central part of the state.
|
E923330
|
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: Lindina, Wisconsin | Statement: [Juneau County, Wisconsin, containsSettlement, Lindina, Wisconsin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lindina, Wisconsin Context triple: [Juneau County, Wisconsin, containsSettlement, Lindina, 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.
Darien, Wisconsin
Darien, Wisconsin is a small rural village located in southeastern Wisconsin within Walworth County.
-
C.
Necedah, Wisconsin
Necedah, Wisconsin is a small village in central Wisconsin known as a gateway to nearby wildlife refuges and outdoor recreation areas.
-
D.
Elkhorn, Wisconsin
Elkhorn, Wisconsin is a small city in southeastern Wisconsin known as the administrative and commercial hub of Walworth County.
-
E.
Wilmot, Wisconsin
Wilmot, Wisconsin is a small unincorporated community in Kenosha County known for its proximity to the Wilmot Mountain ski and snowboard area.
- 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: Lindina, Wisconsin Triple: [Juneau County, Wisconsin, containsSettlement, Lindina, Wisconsin]
Generated description
Lindina, Wisconsin is a small rural community located in Juneau County in the central part of the state.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lindina, Wisconsin Target entity description: Lindina, Wisconsin is a small rural community located in Juneau County in the central part of the state.
-
A.
Waubeka, Wisconsin
Waubeka, Wisconsin is an unincorporated community in Ozaukee County known as the birthplace of Flag Day in the United States.
-
B.
Darien, Wisconsin
Darien, Wisconsin is a small rural village located in southeastern Wisconsin within Walworth County.
-
C.
Necedah, Wisconsin
Necedah, Wisconsin is a small village in central Wisconsin known as a gateway to nearby wildlife refuges and outdoor recreation areas.
-
D.
Elkhorn, Wisconsin
Elkhorn, Wisconsin is a small city in southeastern Wisconsin known as the administrative and commercial hub of Walworth County.
-
E.
Wilmot, Wisconsin
Wilmot, Wisconsin is a small unincorporated community in Kenosha County known for its proximity to the Wilmot Mountain ski and snowboard area.
- 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_69d6aac656d48190b275efaa7d6074ee |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e900fbcc8190a3177f8a73564433 |
completed | April 9, 2026, 5:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e58af8bc988190805168188ed0a6aa |
completed | April 20, 2026, 2:10 a.m. |
| NEDg | Description generation | batch_69e59774e6648190a38b2515a83c2e0c |
completed | April 20, 2026, 3:03 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e5a3abf24481908fb71f4ef6b13532 |
completed | April 20, 2026, 3:55 a.m. |
Created at: April 8, 2026, 9:30 p.m.