Triple

T5507320
Position Surface form Disambiguated ID Type / Status
Subject Henderson, Nevada E144472 entity
Predicate county P75 FINISHED
Object Clark County E27728 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: Clark County | Statement: [Henderson, Nevada, county, Clark County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Clark County
Context triple: [Henderson, Nevada, 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. Douglas County
    Douglas County is a county in southwestern Oregon known for its timber industry, scenic landscapes, and the city of Roseburg as its county seat.
  • D. Douglas County
    Douglas County is a county in the U.S. state of Georgia, located just west of Atlanta and known for its mix of suburban communities, natural attractions, and transportation corridors.
  • E. Douglas County
    Douglas County is a county in central Washington State known for its agricultural economy and location along the Columbia River.
  • 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_69c008f6b5048190a09064116062cf69 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01f495c588190b0cfe5bfb3d2c221 completed March 22, 2026, 4:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69c059ce87448190ac88e79ed4c0f47b completed March 22, 2026, 9:06 p.m.
Created at: March 22, 2026, 3:32 p.m.