Triple

T16119923
Position Surface form Disambiguated ID Type / Status
Subject Majestic View Park E391106 entity
Predicate operatedBy P86 FINISHED
Object City of Arvada NE NERFINISHED

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: City of Arvada | Statement: [Majestic View Park, operatedBy, City of Arvada]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of Arvada
Context triple: [Majestic View Park, operatedBy, City of Arvada]
  • A. Central City, Colorado
    Central City, Colorado is a historic former gold mining town in the Rocky Mountains now known for its preserved 19th-century architecture and casino gaming.
  • B. Arvada chosen
    Arvada is a suburban city in Colorado, United States, located northwest of Denver within the greater Denver metropolitan area.
  • C. Broomfield
    Broomfield is a village and civil parish in Essex, England, situated just north of the city of Chelmsford.
  • D. Broomfield
    Broomfield is a consolidated city and county in north-central Colorado, known for its suburban communities, tech employers, and location between Denver and Boulder along the Front Range.
  • E. Westminster, Colorado
    Westminster, Colorado is a suburban city in the Denver metropolitan area known for its residential communities, open spaces, and proximity to both Denver and Boulder.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d87f1a8dd881909f1de6ef78849874 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e20200acac8190a47e6a917ff8dd34 completed April 17, 2026, 9:48 a.m.
Created at: April 10, 2026, 5 a.m.