Triple

T8874428
Position Surface form Disambiguated ID Type / Status
Subject Oakton, Virginia E211236 entity
Predicate locatedNear P294 FINISHED
Object Vienna, Virginia E21320 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: Vienna, Virginia | Statement: [Oakton, Virginia, locatedNear, Vienna, Virginia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vienna, Virginia
Context triple: [Oakton, Virginia, locatedNear, Vienna, Virginia]
  • A. Vienna, Virginia chosen
    Vienna, Virginia is a suburban town in Fairfax County, just outside Washington, D.C., known for its affluent residential character and proximity to major federal government agencies.
  • B. Warsaw, Virginia
    Warsaw, Virginia is a small historic town that serves as the county seat of Richmond County on Virginia’s Northern Neck peninsula.
  • C. Urbanna, Virginia
    Urbanna, Virginia is a small historic town in Middlesex County known for its colonial-era port on the Rappahannock River and annual oyster festival.
  • D. Hamilton, Virginia
    Hamilton, Virginia is a small historic town in Loudoun County known for its rural character and proximity to the Washington, D.C. metropolitan area.
  • E. 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.
  • 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_69ca838e78748190934d82db3104f855 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc614451d081908804430a72d00edf completed April 1, 2026, 12:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfc1c641048190aabbc10f461099f4 completed April 3, 2026, 1:33 p.m.
Created at: March 30, 2026, 6:52 p.m.