Triple

T1972672
Position Surface form Disambiguated ID Type / Status
Subject Colorado E42836 entity
Predicate hasLargestCity P235 FINISHED
Object Denver E145565 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: Denver | Statement: [Colorado, hasLargestCity, Denver]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Denver
Context triple: [Colorado, hasLargestCity, Denver]
  • A. Denver
    Denver is a small village and civil parish in Norfolk, England, known for its historic drainage works and rural setting near the town of Downham Market.
  • B. Denver
    Denver is a central character in Toni Morrison’s novel "Beloved," portrayed as Sethe’s introspective and resilient daughter who struggles with isolation and the legacy of slavery.
  • C. Denver
    Denver is a fictional member of the gang in the Spanish television series "Money Heist," known for his distinctive laugh and emotional, impulsive nature.
  • D. Denver, Colorado chosen
    Denver, Colorado is the capital and largest city of the U.S. state of Colorado, known for its mile-high elevation, proximity to the Rocky Mountains, and vibrant cultural and sports scene.
  • E. Boulder, Colorado
    Boulder, Colorado is a city at the foothills of the Rocky Mountains known for its research institutions, outdoor recreation, and vibrant university community.
  • 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_69a8871289048190b00b0d7744b7b2b1 completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb3f477988190b0165fc46b1cccfd completed March 7, 2026, 5:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69af5cb503bc8190823a843bb58d85e1 completed March 9, 2026, 11:50 p.m.
Created at: March 4, 2026, 7:36 p.m.