Triple

T1322416
Position Surface form Disambiguated ID Type / Status
Subject Colorado Rockies E28248 entity
Predicate city P40 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 Rockies, city, Denver]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Denver
Context triple: [Colorado Rockies, city, 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_69a498540a2481909e807a762280d3ba completed March 1, 2026, 7:49 p.m.
NER Named-entity recognition batch_69a4c19b76b48190aa8857b80971a842 completed March 1, 2026, 10:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad231f92bc8190be41c30adb022b65 completed March 8, 2026, 7:19 a.m.
Created at: March 1, 2026, 7:55 p.m.