Triple

T48137
Position Surface form Disambiguated ID Type / Status
Subject Holland, Michigan E945 entity
Predicate nickname P55 FINISHED
Object Tulip City E945 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: Tulip City | Statement: [Holland, Michigan, nickname, Tulip City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tulip City
Context triple: [Holland, Michigan, nickname, Tulip City]
  • A. The Garden City
    The Garden City is a nickname for Newton, Massachusetts, reflecting its abundant green spaces, tree-lined streets, and residential charm.
  • B. Amsterdam
    Amsterdam is the largest city in the Netherlands, renowned as a historic commercial and cultural center characterized by its canals, trading heritage, and role as the country’s principal metropolis.
  • C. Chocolate City
    Chocolate City is a popular nickname for Washington, D.C., highlighting its historically large and influential African American population and culture.
  • D. Holland, Michigan chosen
    Holland, Michigan is a city on the shores of Lake Michigan known for its strong Dutch heritage, annual Tulip Time Festival, and traditional Dutch architecture and culture.
  • E. Gori
    Gori is a city in central Georgia best known as the birthplace of Soviet leader Joseph Stalin.
  • 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_69a2480baefc81909951b14058479aa2 completed Feb. 28, 2026, 1:42 a.m.
NER Named-entity recognition batch_69a24af3e4a88190abe2f0c5a0e83ff3 completed Feb. 28, 2026, 1:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69a24e659ac48190a11b70a85867d784 completed Feb. 28, 2026, 2:09 a.m.
Created at: Feb. 28, 2026, 1:47 a.m.