Triple

T9736841
Position Surface form Disambiguated ID Type / Status
Subject Mount Vernon West E236084 entity
Predicate servesMunicipality P3936 FINISHED
Object City of Mount Vernon E76456 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: City of Mount Vernon | Statement: [Mount Vernon West, servesMunicipality, City of Mount Vernon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of Mount Vernon
Context triple: [Mount Vernon West, servesMunicipality, City of Mount Vernon]
  • A. Mount Vernon, Virginia
    Mount Vernon, Virginia is a historic estate along the Potomac River best known as George Washington’s longtime plantation home and burial site.
  • B. Mount Vernon, New York chosen
    Mount Vernon, New York is a densely populated inner-ring suburb of New York City located just north of the Bronx in southern Westchester County.
  • C. 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.
  • D. Mount Vernon
    Mount Vernon is a small city in northwestern Washington State that serves as the administrative and commercial hub of Skagit County.
  • E. Mount Vernon
    Mount Vernon is a historic and culturally rich neighborhood in Baltimore, Maryland, known for its 19th-century architecture, arts institutions, and prominent monuments.
  • 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_69ca84d313e88190983ee6ffd0ef60d2 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9ef032088190acd94c35b89e48b7 completed April 1, 2026, 10:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1bccbb6988190a3733c97d520be67 completed April 5, 2026, 1:37 a.m.
Created at: March 30, 2026, 8:22 p.m.