Triple
T22192797
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wood County, Wisconsin |
E548470
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object |
Sherry, Wisconsin
Sherry, Wisconsin is a small rural town located in Wood County in the central part of the state.
|
E1523972
|
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: Sherry, Wisconsin | Statement: [Wood County, Wisconsin, hasTown, Sherry, Wisconsin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sherry, Wisconsin Context triple: [Wood County, Wisconsin, hasTown, Sherry, Wisconsin]
-
A.
Sharon, Wisconsin
Sharon, Wisconsin is a small rural village located in southwestern Walworth County near the Illinois border.
-
B.
Sherman, Wisconsin
Sherman, Wisconsin is a small town located in Iron County in the northern part of the U.S. state of Wisconsin.
-
C.
St. Germain, Wisconsin
St. Germain, Wisconsin is a small Northwoods town known for its lakes, outdoor recreation, and tourism in northern Wisconsin.
-
D.
Heffron, Wisconsin
Heffron, Wisconsin is a small unincorporated rural community located within Portage County in the U.S. state of Wisconsin.
-
E.
Shawano, Wisconsin
Shawano, Wisconsin is a small city in northeastern Wisconsin known as a regional hub for outdoor recreation and access to nearby lakes and forests.
- 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: Sherry, Wisconsin Triple: [Wood County, Wisconsin, hasTown, Sherry, Wisconsin]
Generated description
Sherry, Wisconsin is a small rural town located in Wood County in the central part of the state.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sherry, Wisconsin Target entity description: Sherry, Wisconsin is a small rural town located in Wood County in the central part of the state.
-
A.
Sharon, Wisconsin
Sharon, Wisconsin is a small rural village located in southwestern Walworth County near the Illinois border.
-
B.
Sherman, Wisconsin
Sherman, Wisconsin is a small town located in Iron County in the northern part of the U.S. state of Wisconsin.
-
C.
St. Germain, Wisconsin
St. Germain, Wisconsin is a small Northwoods town known for its lakes, outdoor recreation, and tourism in northern Wisconsin.
-
D.
Heffron, Wisconsin
Heffron, Wisconsin is a small unincorporated rural community located within Portage County in the U.S. state of Wisconsin.
-
E.
Shawano, Wisconsin
Shawano, Wisconsin is a small city in northeastern Wisconsin known as a regional hub for outdoor recreation and access to nearby lakes and forests.
- 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.