Triple

T636231
Position Surface form Disambiguated ID Type / Status
Subject Wisconsin E16627 entity
Predicate hasNickname P39 FINISHED
Object America's Dairyland E16627 NE FINISHED

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: America's Dairyland | Statement: [Wisconsin, hasNickname, America's Dairyland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: America's Dairyland
Context triple: [Wisconsin, hasNickname, America's Dairyland]
  • A. Wisconsin chosen
    Wisconsin is a U.S. state in the Upper Midwest known for its dairy industry, Great Lakes shorelines, and mix of rural landscapes and industrial cities.
  • B. Iowa
    Iowa is a Midwestern U.S. state known for its extensive agriculture, especially corn and soybean production, and its role in national politics through the Iowa caucuses.
  • C. Indiana
    Indiana is a U.S. state known for its manufacturing base, rich agricultural land, and iconic events like the Indianapolis 500.
  • D. Land of Lincoln
    Land of Lincoln is a nickname for the U.S. state of Illinois, highlighting its strong historical association with President Abraham Lincoln.
  • E. Holland, Michigan
    Holland, Michigan is a city on the shores of Lake Michigan known for its strong Dutch heritage, annual Tulip Time Festival, and traditional Dutch architecture and culture.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69a4936be1c88190af56540324b57da7 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a49ee667f08190a0332b8f6c569e1a completed March 1, 2026, 8:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69a56ef25ffc81908517310fe0c84a68 completed March 2, 2026, 11:05 a.m.
Created at: March 1, 2026, 7:35 p.m.