Triple

T18696720
Position Surface form Disambiguated ID Type / Status
Subject Jefferson County, Wisconsin E457134 entity
Predicate hasVillage P4011 FINISHED
Object Cambridge, Wisconsin 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: Cambridge, Wisconsin | Statement: [Jefferson County, Wisconsin, hasVillage, Cambridge, Wisconsin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cambridge, Wisconsin
Context triple: [Jefferson County, Wisconsin, hasVillage, Cambridge, Wisconsin]
  • A. Medford, Wisconsin
    Medford, Wisconsin is a small city in Taylor County known as a regional hub for agriculture, manufacturing, and access to outdoor recreation in north-central Wisconsin.
  • B. Watertown, Wisconsin
    Watertown, Wisconsin is a small city in southeastern Wisconsin known for its historic downtown, riverside setting, and early German-American heritage.
  • C. Cleveland, Wisconsin
    Cleveland, Wisconsin is a small village in Manitowoc County known for its rural character and location along the western shore of Lake Michigan.
  • D. Farmington, Wisconsin
    Farmington, Wisconsin is a rural town in Washington County known for its agricultural landscape and small-community character in southeastern Wisconsin.
  • E. New London, Wisconsin
    New London, Wisconsin is a small city in east-central Wisconsin known for its Irish heritage celebrations and location along the Wolf and Embarrass Rivers.
  • 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: Cambridge, Wisconsin
Target entity description: Cambridge, Wisconsin is a small village in southern Wisconsin known for its rural charm, outdoor recreation, and proximity to both Madison and Milwaukee.
  • A. Medford, Wisconsin
    Medford, Wisconsin is a small city in Taylor County known as a regional hub for agriculture, manufacturing, and access to outdoor recreation in north-central Wisconsin.
  • B. Watertown, Wisconsin
    Watertown, Wisconsin is a small city in southeastern Wisconsin known for its historic downtown, riverside setting, and early German-American heritage.
  • C. Cleveland, Wisconsin
    Cleveland, Wisconsin is a small village in Manitowoc County known for its rural character and location along the western shore of Lake Michigan.
  • D. Farmington, Wisconsin
    Farmington, Wisconsin is a rural town in Washington County known for its agricultural landscape and small-community character in southeastern Wisconsin.
  • E. New London, Wisconsin
    New London, Wisconsin is a small city in east-central Wisconsin known for its Irish heritage celebrations and location along the Wolf and Embarrass Rivers.
  • 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_69d8d391eb488190ac2e9abf5bf255e4 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e562e8bc408190ab41b3c21003c249 completed April 19, 2026, 11:19 p.m.
Created at: April 10, 2026, 11:49 a.m.