Triple

T1416656
Position Surface form Disambiguated ID Type / Status
Subject Mississippi River E31932 entity
Predicate cityOnRiver P165 FINISHED
Object St. Paul E51653 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: St. Paul | Statement: [Mississippi River, cityOnRiver, St. Paul]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: St. Paul
Context triple: [Mississippi River, cityOnRiver, St. Paul]
  • A. Minneapolis
    Minneapolis is a major city in Minnesota known for its large and historically significant Norwegian American community, vibrant arts scene, and numerous lakes.
  • B. Minneapolis–Saint Paul
    Minneapolis–Saint Paul is a major metropolitan area in Minnesota known for its twin cities, cultural institutions, and economic significance in the Upper Midwest.
  • C. Duluth
    Duluth is a major port city in northeastern Minnesota known for its shipping industry, scenic Lake Superior shoreline, and role as a regional transportation hub.
  • D. Saint Paul, Minnesota, United States chosen
    Saint Paul is the capital city of Minnesota in the United States, known for its historic architecture, cultural institutions, and role as one of the Twin Cities alongside Minneapolis.
  • E. Fargo
    Fargo is a 1996 darkly comedic crime film by the Coen brothers, acclaimed for its distinctive blend of Midwestern noir, quirky characters, and sharp, offbeat dialogue.
  • 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_69a49919a994819086528951bc224775 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c403ccdc8190b2a5fda037b6ea34 completed March 1, 2026, 10:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad400e0a8c8190956ec444b86aa28c completed March 8, 2026, 9:23 a.m.
Created at: March 1, 2026, 7:59 p.m.