Triple
T19483225
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brown County, Wisconsin |
E487443
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Town of Rockland |
—
|
NE NERFINISHED |
How this triple was built (2 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: Town of Rockland | Statement: [Brown County, Wisconsin, contains, Town of Rockland]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Town of Rockland Context triple: [Brown County, Wisconsin, contains, Town of Rockland]
-
A.
Town of Rockland
chosen
The Town of Rockland is a small rural municipality in eastern Wisconsin known for its agricultural landscape and quiet residential character.
-
B.
Town of Hudson
The Town of Hudson is a New England community in Massachusetts known for its historic downtown, residential neighborhoods, and local civic institutions.
-
C.
Aldenville
Aldenville is a residential neighborhood within the city of Chicopee in western Massachusetts.
-
D.
Aldenville
Aldenville is the former name of the small Sierra Nevada foothill town now known as Colfax, California.
-
E.
Town of Orangetown
The Town of Orangetown is a suburban municipality in southeastern New York known for its residential communities, historic hamlets, and proximity to the Hudson River and New York City.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e8d924388190b847cb15bb3d0aff |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6343c23308190a35f462f95338651 |
completed | April 20, 2026, 2:12 p.m. |
Created at: April 10, 2026, 1:39 p.m.