Triple

T1491494
Position Surface form Disambiguated ID Type / Status
Subject Mall of America E29589 entity
Predicate near P350 FINISHED
Object Saint 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: Saint Paul | Statement: [Mall of America, near, Saint Paul]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saint Paul
Context triple: [Mall of America, near, Saint 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_69a498da82e08190ba833330d05f380f completed March 1, 2026, 7:51 p.m.
NER Named-entity recognition batch_69a4c6c3ace4819081bc2b86ee2486b6 completed March 1, 2026, 11:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69ada962149881908c6ecba8347e22d7 completed March 8, 2026, 4:52 p.m.
Created at: March 1, 2026, 8:12 p.m.