Triple

T20174623
Position Surface form Disambiguated ID Type / Status
Subject Las Vegas North Premium Outlets E492057 entity
Predicate county P75 FINISHED
Object Clark County 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: Clark County | Statement: [Las Vegas North Premium Outlets, county, Clark County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Clark County
Context triple: [Las Vegas North Premium Outlets, county, Clark County]
  • A. Clark County chosen
    Clark County is the most populous county in Nevada and includes the city of Las Vegas, serving as a major hub for tourism and entertainment.
  • B. Clark County
    Clark County is a county in southwestern Washington State that includes communities such as La Center and the city of Vancouver within the Portland metropolitan area.
  • C. Clark County
    Clark County is a rural county in central Wisconsin known for its agriculture, forests, and small communities.
  • D. Clark County
    Clark County is a local governmental jurisdiction in the United States that administers regional services, law, and infrastructure for its residents.
  • E. Clark County
    Clark County is a county in western Ohio that includes the city of Springfield and is part of the Springfield metropolitan area.
  • 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_69da6266c6888190bc1a3ecf24814d34 completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e668eaa3b88190bef4f2db0125fdfc completed April 20, 2026, 5:56 p.m.
Created at: April 11, 2026, 11:36 p.m.