Triple
T19483224
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brown County, Wisconsin |
E487443
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Town of Pittsfield |
—
|
NE NERFINISHED |
How this triple was built (3 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 Pittsfield | Statement: [Brown County, Wisconsin, contains, Town of Pittsfield]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Town of Pittsfield Context triple: [Brown County, Wisconsin, contains, Town of Pittsfield]
-
A.
Pittsfield, Massachusetts
Pittsfield, Massachusetts is a small city in western Massachusetts that serves as a cultural and economic hub within the scenic Berkshire region.
-
B.
Pittsfield
Pittsfield is a small town located within Otsego County in the central region of New York State.
-
C.
Town of Watertown
The Town of Watertown is a small New York municipality in Jefferson County, known for its historic downtown and role as a regional service and commercial center.
-
D.
Town of Greenfield
Town of Greenfield is a rural town in Saratoga County, New York, known for its scenic Adirondack foothills, outdoor recreation, and residential communities.
-
E.
Town of Amherst
The Town of Amherst is a municipality in western Massachusetts known for its vibrant college-town atmosphere, historic sites, and prominent educational institutions including the University of Massachusetts Amherst.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Town of Pittsfield Target entity description: The Town of Pittsfield is a small rural municipality in northeastern Wisconsin known for its agricultural landscape and proximity to the Green Bay metropolitan area.
-
A.
Pittsfield, Massachusetts
Pittsfield, Massachusetts is a small city in western Massachusetts that serves as a cultural and economic hub within the scenic Berkshire region.
-
B.
Pittsfield
Pittsfield is a small town located within Otsego County in the central region of New York State.
-
C.
Town of Watertown
The Town of Watertown is a small New York municipality in Jefferson County, known for its historic downtown and role as a regional service and commercial center.
-
D.
Town of Greenfield
Town of Greenfield is a rural town in Saratoga County, New York, known for its scenic Adirondack foothills, outdoor recreation, and residential communities.
-
E.
Town of Amherst
The Town of Amherst is a municipality in western Massachusetts known for its vibrant college-town atmosphere, historic sites, and prominent educational institutions including the University of Massachusetts Amherst.
- F. None of above. chosen
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.