Triple

T41272
Position Surface form Disambiguated ID Type / Status
Subject Northern Virginia E813 entity
Predicate hasSubregion P285 FINISHED
Object Warrenton
Warrenton is a small historic town in Fauquier County that serves as a commercial and civic hub for the surrounding rural areas of Northern Virginia.
 E10818 NE FINISHED

How this triple was built (4 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: Warrenton | Statement: [Northern Virginia, hasSubregion, Warrenton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Warrenton
Context triple: [Northern Virginia, hasSubregion, Warrenton]
  • A. Winchester
    Winchester is a suburban town in Middlesex County, Massachusetts, known for its residential character and proximity to Boston.
  • B. Kanesville
    Kanesville was the mid-19th-century Mormon settlement that later became the city of Council Bluffs, Iowa.
  • C. Shirlington
    Shirlington is a vibrant urban village in Arlington, Virginia, known for its walkable mix of restaurants, shops, theaters, and residential developments.
  • D. Lexington
    Lexington is a historic suburban town in Massachusetts, United States, best known as the site where the first shots of the American Revolutionary War were fired at the Battle of Lexington in 1775.
  • E. Weston
    Weston is a suburban town in eastern Massachusetts known for its residential character, conservation land, and commuter access to Boston.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Warrenton
Triple: [Northern Virginia, hasSubregion, Warrenton]
Generated description
Warrenton is a small historic town in Fauquier County that serves as a commercial and civic hub for the surrounding rural areas of Northern Virginia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Warrenton
Target entity description: Warrenton is a small historic town in Fauquier County that serves as a commercial and civic hub for the surrounding rural areas of Northern Virginia.
  • A. Winchester
    Winchester is a suburban town in Middlesex County, Massachusetts, known for its residential character and proximity to Boston.
  • B. Kanesville
    Kanesville was the mid-19th-century Mormon settlement that later became the city of Council Bluffs, Iowa.
  • C. Shirlington
    Shirlington is a vibrant urban village in Arlington, Virginia, known for its walkable mix of restaurants, shops, theaters, and residential developments.
  • D. Lexington
    Lexington is a historic suburban town in Massachusetts, United States, best known as the site where the first shots of the American Revolutionary War were fired at the Battle of Lexington in 1775.
  • E. Weston
    Weston is a suburban town in eastern Massachusetts known for its residential character, conservation land, and commuter access to Boston.
  • F. None of above. chosen

Provenance (5 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_69a247a8f6c08190bac804906d62ed5a completed Feb. 28, 2026, 1:40 a.m.
NER Named-entity recognition batch_69a24ae0b7c4819092220568e8e52ad5 completed Feb. 28, 2026, 1:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69a275df03dc81908c338b656feb9635 completed Feb. 28, 2026, 4:58 a.m.
NEDg Description generation batch_69a2770e91e081908c717b4a449e0a3e completed Feb. 28, 2026, 5:03 a.m.
NED2 Entity disambiguation (via description) batch_69a278a3b7f88190b10bf9d74cb68282 completed Feb. 28, 2026, 5:09 a.m.
Created at: Feb. 28, 2026, 1:46 a.m.