Triple
T21411727
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Portage County, Wisconsin |
E528187
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object |
Grant, Wisconsin
Grant, Wisconsin is a small rural town located in Portage County in the central part of the state.
|
E1490076
|
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: Grant, Wisconsin | Statement: [Portage County, Wisconsin, hasTown, Grant, Wisconsin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Grant, Wisconsin Context triple: [Portage County, Wisconsin, hasTown, Grant, Wisconsin]
-
A.
Wilson, Wisconsin
Wilson, Wisconsin is a small town located in Iron County in the northern part of the U.S. state of Wisconsin.
-
B.
Washington, Wisconsin
Washington, Wisconsin is a small town located in Eau Claire County in the western part of the U.S. state of Wisconsin.
-
C.
Buchanan, Wisconsin
Buchanan, Wisconsin is a small town in Outagamie County known for its suburban-rural character near the Fox Cities region.
-
D.
Washburn, Wisconsin
Washburn, Wisconsin is a small city on the shores of Lake Superior in northern Wisconsin known for its scenic waterfront and outdoor recreation.
-
E.
De Soto, Wisconsin
De Soto, Wisconsin is a small village in southwestern Wisconsin situated along the Mississippi River, known for its scenic bluffs, outdoor recreation, and rural charm.
- 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: Grant, Wisconsin Triple: [Portage County, Wisconsin, hasTown, Grant, Wisconsin]
Generated description
Grant, Wisconsin is a small rural town located in Portage County in the central part of the state.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Grant, Wisconsin Target entity description: Grant, Wisconsin is a small rural town located in Portage County in the central part of the state.
-
A.
Wilson, Wisconsin
Wilson, Wisconsin is a small town located in Iron County in the northern part of the U.S. state of Wisconsin.
-
B.
Washington, Wisconsin
Washington, Wisconsin is a small town located in Eau Claire County in the western part of the U.S. state of Wisconsin.
-
C.
Buchanan, Wisconsin
Buchanan, Wisconsin is a small town in Outagamie County known for its suburban-rural character near the Fox Cities region.
-
D.
Washburn, Wisconsin
Washburn, Wisconsin is a small city on the shores of Lake Superior in northern Wisconsin known for its scenic waterfront and outdoor recreation.
-
E.
De Soto, Wisconsin
De Soto, Wisconsin is a small village in southwestern Wisconsin situated along the Mississippi River, known for its scenic bluffs, outdoor recreation, and rural charm.
- 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_69e0c454c248819093425d1099101c09 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e8b1fe2cd08190bfaf28daae4f5233 |
completed | April 22, 2026, 11:33 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09eecc2a408190a923b8455e2617d7 |
completed | May 17, 2026, 4:37 p.m. |
| NEDg | Description generation | batch_6a09efc6a57c81908c72e794c16989d4 |
completed | May 17, 2026, 4:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09f07a090c8190aead09c3b06e0e34 |
completed | May 17, 2026, 4:44 p.m. |
Created at: April 16, 2026, 5:43 p.m.