Triple

T325929
Position Surface form Disambiguated ID Type / Status
Subject Town of Vienna, Virginia E6517 entity
Predicate near P350 FINISHED
Object Tysons, Virginia E47431 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: Tysons, Virginia | Statement: [Town of Vienna, Virginia, near, Tysons, Virginia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tysons, Virginia
Context triple: [Town of Vienna, Virginia, near, Tysons, Virginia]
  • A. Tysons, Virginia chosen
    Tysons, Virginia is a major commercial and business district in Northern Virginia known for its large shopping malls, dense office developments, and role as a key edge city of the Washington, D.C. metropolitan area.
  • 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. 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.
  • D. Herndon
    Herndon is a suburban town in Fairfax County, Virginia, known for its proximity to Washington, D.C. and Dulles International Airport.
  • 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_69a2e7933d6c8190bb2592ad13286ef2 completed Feb. 28, 2026, 1:03 p.m.
NER Named-entity recognition batch_69a2ea959f9c819084602b8a1b5e66dd completed Feb. 28, 2026, 1:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69a52ea6ac6c8190820a6d88450909bd completed March 2, 2026, 6:31 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.