Triple

T16951936
Position Surface form Disambiguated ID Type / Status
Subject Charm City Circulator E411199 entity
Predicate serviceArea P82 FINISHED
Object Mount Vernon E759772 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: Mount Vernon | Statement: [Charm City Circulator, serviceArea, Mount Vernon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mount Vernon
Context triple: [Charm City Circulator, serviceArea, Mount Vernon]
  • A. Mount Vernon
    Mount Vernon is a city in Westchester County, New York, bordering the Bronx and known as a residential suburb of New York City.
  • B. Mount Vernon
    Mount Vernon is a small city in northwestern Washington State that serves as the administrative and commercial hub of Skagit County.
  • C. Mount Vernon chosen
    Mount Vernon is a historic and culturally rich neighborhood in Baltimore, Maryland, known for its 19th-century architecture, arts institutions, and prominent monuments.
  • D. Mount Vernon
    Mount Vernon is a small city in eastern Iowa known for being home to Cornell College and its historic, tree-lined downtown.
  • E. Mount Vernon
    Mount Vernon is the historic Virginia plantation estate of George Washington, overlooking the Potomac River and preserved today as a major museum and heritage site.
  • 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_69d886c9c9d481909afe222093641cae completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d0197f308190af7185fc9cc7a6e9 completed April 18, 2026, 6:40 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00d46213b08190b33b48d12bc795d1 completed May 10, 2026, 6:54 p.m.
Created at: April 10, 2026, 5:31 a.m.