Triple

T2639250
Position Surface form Disambiguated ID Type / Status
Subject Coral Gables, Florida E62823 entity
Predicate hasMotto P42 FINISHED
Object The City Beautiful E80720 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: The City Beautiful | Statement: [Coral Gables, Florida, hasMotto, The City Beautiful]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The City Beautiful
Context triple: [Coral Gables, Florida, hasMotto, The City Beautiful]
  • A. The City Beautiful chosen
    The City Beautiful is a popular nickname for Orlando, Florida, highlighting its scenic lakes, tree-lined streets, and carefully planned urban aesthetics.
  • B. The Olmsted
    The Olmsted is a residential building located along Manhattan’s Central Park West, named in honor of landscape architect Frederick Law Olmsted.
  • C. The City
    The City is a common nickname for Manhattan, the densely populated and iconic borough of New York City known for its skyscrapers, cultural landmarks, and role as a global financial and media hub.
  • D. The City
    The City is a 1919–1920 Cubist painting by Fernand Léger that depicts the dynamism and fragmentation of modern urban life through bold colors and geometric forms.
  • E. The City
    "The City" is an atmospheric, synthesizer-driven track by Vangelis that showcases his signature cinematic and electronic sound.
  • 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_69ab4c3f2dcc819082df80f5e032f690 completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abd8fafad08190939b08558fea6abd completed March 7, 2026, 7:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69af90b628748190bdbb23f1d85bc3fd completed March 10, 2026, 3:32 a.m.
Created at: March 6, 2026, 9:53 p.m.