Triple

T13040012
Position Surface form Disambiguated ID Type / Status
Subject Front Range, Colorado E327167 entity
Predicate containsCity P294 FINISHED
Object Boulder E53190 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: Boulder | Statement: [Front Range, Colorado, containsCity, Boulder]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Boulder
Context triple: [Front Range, Colorado, containsCity, Boulder]
  • A. Boulder
    Boulder is a town in Western Australia that now forms part of the city of Kalgoorlie-Boulder, historically known for its role in the Eastern Goldfields mining region.
  • B. Boulder, Colorado chosen
    Boulder, Colorado is a city at the foothills of the Rocky Mountains known for its research institutions, outdoor recreation, and vibrant university community.
  • C. 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.
  • D. 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.
  • E. 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.
  • 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_69d8076e64308190904fb5c93517c901 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d9804d8e3081909584c93df099859a completed April 10, 2026, 10:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdd5b2fb308190ab041a9cfe39087c completed May 8, 2026, 12:23 p.m.
Created at: April 9, 2026, 8:55 p.m.