Triple

T19174930
Position Surface form Disambiguated ID Type / Status
Subject State Auditor of Minnesota E469414 entity
Predicate appliesToJurisdiction P82 FINISHED
Object Minnesota 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: Minnesota | Statement: [State Auditor of Minnesota, appliesToJurisdiction, Minnesota]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Minnesota
Context triple: [State Auditor of Minnesota, appliesToJurisdiction, Minnesota]
  • A. Minnesota
    Minnesota is an American hip hop record producer known for his work with prominent rap artists in the 1990s and 2000s.
  • B. Minnesota
    Minnesota is an American electronic music producer and DJ known for his melodic, bass-heavy dubstep and festival performances.
  • C. Minnesota chosen
    Minnesota is a U.S. state known for its numerous lakes, cold winters, and vibrant cultural and economic centers like Minneapolis–Saint Paul.
  • D. D. Minn.
    D. Minn. is the standard legal abbreviation for the United States District Court for the District of Minnesota, a federal trial court within the Eighth Circuit.
  • E. Minnesota and Wisconsin
    Minnesota and Wisconsin are two neighboring U.S. states in the Upper Midwest, known for their abundant lakes, forests, and shared border along the upper Mississippi River.
  • 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_69d8dd09d5a081909ae43c286651ae5a completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5f166d3888190adaf6dc8531a8ed1 completed April 20, 2026, 9:27 a.m.
Created at: April 10, 2026, 12:06 p.m.