Triple

T22758661
Position Surface form Disambiguated ID Type / Status
Subject John S. Mosby E562920 entity
Predicate areaOfOperations P710 FINISHED
Object Loudoun and Fauquier counties, Virginia NE NERFINISHED

How this triple was built (3 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: Loudoun and Fauquier counties, Virginia | Statement: [John S. Mosby, areaOfOperations, Loudoun and Fauquier counties, Virginia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Loudoun and Fauquier counties, Virginia
Context triple: [John S. Mosby, areaOfOperations, Loudoun and Fauquier counties, Virginia]
  • A. Loudoun County, Virginia
    Loudoun County, Virginia is a rapidly growing suburban county in Northern Virginia known for its affluent communities, technology and data center corridor, and proximity to Washington, D.C.
  • B. Fauquier County, Virginia
    Fauquier County, Virginia is a largely rural, historically rich county in northern Virginia known for its horse country, wineries, and role as an exurban area within the greater Washington, D.C. region.
  • C. Buckingham County, Virginia
    Buckingham County, Virginia is a rural county in central Virginia known for its historic communities, agricultural landscape, and location along the James River.
  • D. Montgomery County, Virginia
    Montgomery County, Virginia is a county in southwestern Virginia best known as the home of the college town of Blacksburg and the main campus of Virginia Tech.
  • E. Frederick County, Virginia
    Frederick County, Virginia is a largely rural county in the northern Shenandoah Valley known for its Civil War history, agricultural landscape, and proximity to the city of Winchester.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Loudoun and Fauquier counties, Virginia
Target entity description: Loudoun and Fauquier counties, Virginia are neighboring counties in Northern Virginia that served as a key Confederate partisan warfare region under cavalry commander John S. Mosby during the American Civil War.
  • A. Loudoun County, Virginia
    Loudoun County, Virginia is a rapidly growing suburban county in Northern Virginia known for its affluent communities, technology and data center corridor, and proximity to Washington, D.C.
  • B. Fauquier County, Virginia
    Fauquier County, Virginia is a largely rural, historically rich county in northern Virginia known for its horse country, wineries, and role as an exurban area within the greater Washington, D.C. region.
  • C. Buckingham County, Virginia
    Buckingham County, Virginia is a rural county in central Virginia known for its historic communities, agricultural landscape, and location along the James River.
  • D. Montgomery County, Virginia
    Montgomery County, Virginia is a county in southwestern Virginia best known as the home of the college town of Blacksburg and the main campus of Virginia Tech.
  • E. Frederick County, Virginia
    Frederick County, Virginia is a largely rural county in the northern Shenandoah Valley known for its Civil War history, agricultural landscape, and proximity to the city of Winchester.
  • F. None of above. chosen

Provenance (2 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_69e24552e11c81909c2d61578a558bd7 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17a7a8ca481909953dcd6fbcc5fcf completed April 29, 2026, 3:26 a.m.
Created at: April 17, 2026, 3:25 p.m.