Triple

T13651973
Position Surface form Disambiguated ID Type / Status
Subject Felida, Washington E326761 entity
Predicate county P75 FINISHED
Object Clark County E320109 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: [Felida, Washington, county, Clark County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Clark County
Context triple: [Felida, Washington, 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
    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 chosen
    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
    Clark County is a local governmental jurisdiction in the United States that administers regional services, law, and infrastructure for its residents.
  • E. 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.
  • 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_69d8076d8270819092afc2f0e9c359a8 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc609676c8190b5b1cabe6b315142 completed April 12, 2026, 4:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69f79d46c48c81908d64f1a32cf08c5b completed May 3, 2026, 7:08 p.m.
Created at: April 9, 2026, 9:52 p.m.