Triple

T8220940
Position Surface form Disambiguated ID Type / Status
Subject Arlington County E192056 entity
Predicate contains P35 FINISHED
Object Ballston E14157 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: Ballston | Statement: [Arlington County, contains, Ballston]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ballston
Context triple: [Arlington County, contains, Ballston]
  • A. Ballston chosen
    Ballston is a dense, transit-oriented urban neighborhood in Arlington, Virginia, known for its mix of offices, apartments, shopping, and dining.
  • B. Burleith
    Burleith is a residential neighborhood in northwest Washington, D.C., known for its tree-lined streets and proximity to Georgetown and the Georgetown University campus.
  • C. Brookland
    Brookland is a residential neighborhood in Northeast Washington, D.C., known for its Catholic institutions, including the Catholic University of America, and its mix of historic homes and growing arts and dining scenes.
  • D. Leesburg Corner
    Leesburg Corner is a large outlet shopping center in Leesburg, Virginia, known today as Leesburg Corner Premium Outlets.
  • E. Cleveland Park
    Cleveland Park is a historic, tree-lined residential neighborhood in Washington, D.C., known for its early 20th-century architecture, hilly terrain, and vibrant commercial strip along Connecticut Avenue.
  • 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_69ca82c9a8ac81908b011c38698456e4 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb77c782a8819086019ab6bac05749 completed March 31, 2026, 7:29 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd94d541f08190adf1fe7020b3c39b completed April 1, 2026, 9:57 p.m.
Created at: March 30, 2026, 5:45 p.m.