Triple

T15350177
Position Surface form Disambiguated ID Type / Status
Subject Bong Bridge E367029 entity
Predicate crossesBorderBetween P4105 FINISHED
Object Wisconsin and Minnesota E251140 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: Wisconsin and Minnesota | Statement: [Bong Bridge, crossesBorderBetween, Wisconsin and Minnesota]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wisconsin and Minnesota
Context triple: [Bong Bridge, crossesBorderBetween, Wisconsin and Minnesota]
  • A. Minnesota and Wisconsin chosen
    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.
  • B. Minnesota and Ontario
    Minnesota and Ontario are neighboring jurisdictions of the United States and Canada, respectively, that share a long international border marked by numerous lakes, rivers, and wilderness areas.
  • C. Wisconsin
    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.
  • D. Minnesota
    Minnesota is a U.S. state known for its numerous lakes, cold winters, and vibrant cultural and economic centers like Minneapolis–Saint Paul.
  • E. Minnesota
    Minnesota is an American hip hop record producer known for his work with prominent rap artists in the 1990s and 2000s.
  • 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_69d85a1355608190a6673ddb67231d54 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e27f8a88190a0f65756e3a1fdfc completed April 16, 2026, 1:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff1a6991148190b522684b35c07b1a completed May 9, 2026, 11:28 a.m.
Created at: April 10, 2026, 3:17 a.m.