Triple

T16119957
Position Surface form Disambiguated ID Type / Status
Subject Majestic View Park E391106 entity
Predicate category P87 FINISHED
Object Arvada, Colorado 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: Arvada, Colorado | Statement: [Majestic View Park, category, Arvada, Colorado]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arvada, Colorado
Context triple: [Majestic View Park, category, Arvada, Colorado]
  • A. Arvada chosen
    Arvada is a suburban city in Colorado, United States, located northwest of Denver within the greater Denver metropolitan area.
  • B. Lakewood, Colorado
    Lakewood, Colorado is a suburban city just west of Denver, known for its residential communities, retail centers, and proximity to the Rocky Mountains.
  • C. 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.
  • 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. Broomfield
    Broomfield is a village and civil parish in Essex, England, situated just north of the city of Chelmsford.
  • 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.