Triple

T5621000
Position Surface form Disambiguated ID Type / Status
Subject Whitney, Nevada E147602 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: [Whitney, Nevada, county, Clark County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Clark County
Context triple: [Whitney, Nevada, county, Clark County]
  • A. Clark County
    Clark County is a rural county in central Wisconsin known for its agriculture, forests, and small communities.
  • B. 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.
  • C. 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.
  • D. Clark County, Nevada
    Clark County, Nevada is the populous southern Nevada county that includes the Las Vegas metropolitan area and serves as a major hub for tourism, entertainment, and gaming.
  • E. 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.
  • 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_69c00906f2a88190a992c66b13d606d4 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c02211c8f4819090d19656c6eac2d4 completed March 22, 2026, 5:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0e3158cfc8190b2f1a0eb40e8a440 completed March 23, 2026, 6:52 a.m.
Created at: March 22, 2026, 3:40 p.m.