Triple

T20507183
Position Surface form Disambiguated ID Type / Status
Subject Kirkwood Mall E503464 entity
Predicate serves P98 FINISHED
Object Bismarck metropolitan area NE NERFINISHED

How this triple was built (3 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: Bismarck metropolitan area | Statement: [Kirkwood Mall, serves, Bismarck metropolitan area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bismarck metropolitan area
Context triple: [Kirkwood Mall, serves, Bismarck metropolitan area]
  • A. Hamburg metropolitan region
    The Hamburg metropolitan region is a major economic and population center in northern Germany, anchored by the city of Hamburg and its extensive port and logistics industries.
  • B. Bremen metropolitan region
    The Bremen metropolitan region is an urban area in northwestern Germany centered around the city-state of Bremen, encompassing surrounding cities and towns with integrated economic, transport, and cultural links.
  • C. Hanover–Brunswick–Göttingen–Wolfsburg Metropolitan Region
    The Hanover–Brunswick–Göttingen–Wolfsburg Metropolitan Region is a major metropolitan area in northern Germany that encompasses several key cities and economic centers in the state of Lower Saxony.
  • D. Rhine-Ruhr metropolitan region
    The Rhine-Ruhr metropolitan region is a major polycentric urban and industrial area in western Germany that encompasses several large cities, including Cologne, and forms one of Europe’s largest population and economic centers.
  • E. Nuremberg metropolitan region
    The Nuremberg metropolitan region is a major urban and economic area in northern Bavaria, Germany, centered around the city of Nuremberg and encompassing several surrounding cities and towns.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bismarck metropolitan area
Target entity description: The Bismarck metropolitan area is a regional urban hub in central North Dakota centered on the state capital, Bismarck, and its surrounding communities.
  • A. Hamburg metropolitan region
    The Hamburg metropolitan region is a major economic and population center in northern Germany, anchored by the city of Hamburg and its extensive port and logistics industries.
  • B. Bremen metropolitan region
    The Bremen metropolitan region is an urban area in northwestern Germany centered around the city-state of Bremen, encompassing surrounding cities and towns with integrated economic, transport, and cultural links.
  • C. Hanover–Brunswick–Göttingen–Wolfsburg Metropolitan Region
    The Hanover–Brunswick–Göttingen–Wolfsburg Metropolitan Region is a major metropolitan area in northern Germany that encompasses several key cities and economic centers in the state of Lower Saxony.
  • D. Rhine-Ruhr metropolitan region
    The Rhine-Ruhr metropolitan region is a major polycentric urban and industrial area in western Germany that encompasses several large cities, including Cologne, and forms one of Europe’s largest population and economic centers.
  • E. Nuremberg metropolitan region
    The Nuremberg metropolitan region is a major urban and economic area in northern Bavaria, Germany, centered around the city of Nuremberg and encompassing several surrounding cities and towns.
  • F. None of above. chosen

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_69e0b4b1e52c8190894281cf7e3283ab completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e69dc82dd0819085d64d65a1e72c70 completed April 20, 2026, 9:42 p.m.
Created at: April 16, 2026, 11:36 a.m.