Triple

T19483231
Position Surface form Disambiguated ID Type / Status
Subject Brown County, Wisconsin E487443 entity
Predicate contains P35 FINISHED
Object Town of New Denmark 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 New Denmark | Statement: [Brown County, Wisconsin, contains, Town of New Denmark]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Town of New Denmark
Context triple: [Brown County, Wisconsin, contains, Town of New Denmark]
  • A. Town of Danvers
    The Town of Danvers is a municipality in Essex County, Massachusetts, historically notable for its connection to the 1692 Salem witch trials and preservation of related heritage sites.
  • B. Town of Washington
    The Town of Washington is a small municipality in Door County, Wisconsin, encompassing Washington Island and surrounding smaller islands in Lake Michigan.
  • C. Town of Washington
    The Town of Washington is a small, rural municipality in Dutchess County, New York, known for its historic character and scenic Hudson Valley landscapes.
  • D. Town of New Hudson
    The Town of New Hudson is a small rural municipality in Allegany County in western New York State, characterized by its countryside landscape and low population density.
  • E. Town of Dennis
    The Town of Dennis is a coastal municipality on Cape Cod in Massachusetts known for its beaches, historic villages, and tourism-based economy.
  • 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 New Denmark
Target entity description: The Town of New Denmark is a rural municipality in northeastern Wisconsin known for its agricultural landscape and strong Danish-American heritage.
  • A. Town of Danvers
    The Town of Danvers is a municipality in Essex County, Massachusetts, historically notable for its connection to the 1692 Salem witch trials and preservation of related heritage sites.
  • B. Town of Washington
    The Town of Washington is a small municipality in Door County, Wisconsin, encompassing Washington Island and surrounding smaller islands in Lake Michigan.
  • C. Town of Washington
    The Town of Washington is a small, rural municipality in Dutchess County, New York, known for its historic character and scenic Hudson Valley landscapes.
  • D. Town of New Hudson
    The Town of New Hudson is a small rural municipality in Allegany County in western New York State, characterized by its countryside landscape and low population density.
  • E. Town of Dennis
    The Town of Dennis is a coastal municipality on Cape Cod in Massachusetts known for its beaches, historic villages, and tourism-based economy.
  • 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.