Triple

T1294742
Position Surface form Disambiguated ID Type / Status
Subject Dulles Corridor E27628 entity
Predicate near P350 FINISHED
Object Ashburn, Virginia E30324 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: Ashburn, Virginia | Statement: [Dulles Corridor, near, Ashburn, Virginia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ashburn, Virginia
Context triple: [Dulles Corridor, near, Ashburn, Virginia]
  • A. Ashburn chosen
    Ashburn is a rapidly growing suburban community in Loudoun County, Virginia, known for its major data centers, tech industry presence, and planned residential neighborhoods.
  • B. Falls Church
    Falls Church is an independent city in Northern Virginia, near Washington, D.C., known for its small size, historic character, and suburban residential communities.
  • C. Leesburg
    Leesburg is a historic town in Loudoun County that serves as a suburban hub of Northern Virginia near Washington, D.C.
  • D. Fairfax, Virginia
    Fairfax, Virginia is an independent city in Northern Virginia that serves as a major suburban community within the Washington, D.C. metropolitan area.
  • E. Arlington, Virginia
    Arlington, Virginia is an urban county directly across the Potomac River from Washington, D.C., known for its dense development, federal government agencies, and landmarks such as the Pentagon and Arlington National Cemetery.
  • 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_69a496d6682881909ba658f1c1e0e2b0 completed March 1, 2026, 7:43 p.m.
NER Named-entity recognition batch_69a4c0f2eb608190a0ac47a73adae19b completed March 1, 2026, 10:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69af903825d881909c3f2ec2c307019d completed March 10, 2026, 3:30 a.m.
Created at: March 1, 2026, 7:51 p.m.