Triple

T7618753
Position Surface form Disambiguated ID Type / Status
Subject Georgetown E172430 entity
Predicate adjacentTo P224 FINISHED
Object Burleith E428011 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: Burleith | Statement: [Georgetown, adjacentTo, Burleith]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Burleith
Context triple: [Georgetown, adjacentTo, Burleith]
  • A. Burleith chosen
    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.
  • B. 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.
  • C. Locust Point
    Locust Point is a historic waterfront neighborhood in Baltimore known for its industrial roots, immigrant history, and views of the Inner Harbor.
  • D. Marshall Heights
    Marshall Heights is a residential neighborhood in Southeast Washington, D.C., known for its hilly terrain, predominantly African American community, and ongoing revitalization efforts.
  • E. Ballston
    Ballston is a dense, transit-oriented urban neighborhood in Arlington, Virginia, known for its mix of offices, apartments, shopping, and dining.
  • 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_69c699506b308190826894dab1d9ea86 completed March 27, 2026, 2:50 p.m.
NER Named-entity recognition batch_69c6fa4886ac819084188f54d280df35 completed March 27, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69c86874d5e48190a07c48f667fb8f6e completed March 28, 2026, 11:47 p.m.
Created at: March 27, 2026, 3:55 p.m.