Triple

T946798
Position Surface form Disambiguated ID Type / Status
Subject Beaver County E20430 entity
Predicate borderedBy P224 FINISHED
Object Washington County E20228 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: Washington County | Statement: [Beaver County, borderedBy, Washington County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Washington County
Context triple: [Beaver County, borderedBy, Washington County]
  • A. Washington County chosen
    Washington County is a county in southwestern Pennsylvania that forms part of the greater Pittsburgh metropolitan area.
  • B. Washington County
    Washington County was a former administrative subdivision of the District of Columbia that encompassed the area outside the cities of Washington and Georgetown on the Maryland side of the Potomac River.
  • C. Washington County
    Washington County is a largely rural county in eastern New York State, known for its agricultural landscape and location along the Vermont border.
  • D. Washington County
    Washington County is a county in southwestern Alabama known as the state's first county, established in 1800 during the Mississippi Territory period.
  • E. Warren County
    Warren County is a county in northeastern New York State known for encompassing much of the Adirondack Mountains and popular tourist destinations such as Lake George.
  • 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_69a493b0f2fc81908cd227480a5356a1 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b3bcad2481908b83575b2fb80d14 completed March 1, 2026, 9:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69ae5150360881909dabd3d6d12f83e1 completed March 9, 2026, 4:49 a.m.
Created at: March 1, 2026, 7:40 p.m.