Triple
T22192784
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wood County, Wisconsin |
E548470
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object |
Dexter, Wisconsin
Dexter, Wisconsin is a small unincorporated community located in Wood County in the central part of the U.S. state of Wisconsin.
|
E1523968
|
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: Dexter, Wisconsin | Statement: [Wood County, Wisconsin, hasTown, Dexter, Wisconsin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dexter, Wisconsin Context triple: [Wood County, Wisconsin, hasTown, Dexter, Wisconsin]
-
A.
Dorchester, Wisconsin
Dorchester, Wisconsin is a small rural village in central Wisconsin known for its agricultural community and tight-knit local character.
-
B.
Dewey, Wisconsin
Dewey, Wisconsin is a small rural town located in Portage County in the central part of the state.
-
C.
De Pere, Wisconsin
De Pere, Wisconsin is a small city in Brown County along the Fox River, just south of Green Bay, known for its historic downtown and St. Norbert College.
-
D.
Darien, Wisconsin
Darien, Wisconsin is a small rural village located in southeastern Wisconsin within Walworth County.
-
E.
Brown Deer, Wisconsin
Brown Deer, Wisconsin is a suburban village in Milwaukee County known for its residential neighborhoods, parks, and proximity to the Milwaukee metropolitan 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: Dexter, Wisconsin Triple: [Wood County, Wisconsin, hasTown, Dexter, Wisconsin]
Generated description
Dexter, Wisconsin is a small unincorporated community located in Wood County in the central part of the U.S. state of Wisconsin.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dexter, Wisconsin Target entity description: Dexter, Wisconsin is a small unincorporated community located in Wood County in the central part of the U.S. state of Wisconsin.
-
A.
Dorchester, Wisconsin
Dorchester, Wisconsin is a small rural village in central Wisconsin known for its agricultural community and tight-knit local character.
-
B.
Dewey, Wisconsin
Dewey, Wisconsin is a small rural town located in Portage County in the central part of the state.
-
C.
De Pere, Wisconsin
De Pere, Wisconsin is a small city in Brown County along the Fox River, just south of Green Bay, known for its historic downtown and St. Norbert College.
-
D.
Darien, Wisconsin
Darien, Wisconsin is a small rural village located in southeastern Wisconsin within Walworth County.
-
E.
Brown Deer, Wisconsin
Brown Deer, Wisconsin is a suburban village in Milwaukee County known for its residential neighborhoods, parks, and proximity to the Milwaukee metropolitan 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_69e11e3e0c7c8190b30d278845e2497e |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12ae49ec881908fa42446b19e3f2d |
completed | April 28, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0aa60e47c881909096698dd7d82e7f |
completed | May 18, 2026, 5:39 a.m. |
| NEDg | Description generation | batch_6a0aa6c001d48190b49866f02514aa28 |
completed | May 18, 2026, 5:42 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0aa74204a081909fa0d80858bfa6bb |
completed | May 18, 2026, 5:44 a.m. |
Created at: April 16, 2026, 8:35 p.m.