Triple

T1377314
Position Surface form Disambiguated ID Type / Status
Subject Henderson E29254 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, county, Clark County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Clark County
Context triple: [Henderson, 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. Douglas County
    Douglas County is a county in western Nevada known for encompassing part of the Lake Tahoe region and serving as a key residential and recreational area near Carson City and the California border.
  • C. Clark County government
    Clark County government is the local administrative body responsible for providing public services, enforcing county regulations, and managing governmental functions within Clark County, Ohio.
  • D. Clark County, Washington
    Clark County, Washington is a county in southwestern Washington State, part of the Portland metropolitan area, with Vancouver as its largest city.
  • E. Wayne County
    Wayne County is a county in southeastern Georgia known for its rural communities, forestry, and transportation routes connecting coastal and inland parts of the state.
  • 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_69a498d883a48190bfdca525296ef7ee completed March 1, 2026, 7:51 p.m.
NER Named-entity recognition batch_69a4c31602b8819087a57e8d390cae7a completed March 1, 2026, 10:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69acd488698481909411c004aadfcaec completed March 8, 2026, 1:44 a.m.
Created at: March 1, 2026, 7:59 p.m.