Triple

T9006637
Position Surface form Disambiguated ID Type / Status
Subject Mount Vernon, Iowa E215159 entity
Predicate namedAfter P63 FINISHED
Object Mount Vernon, Virginia E3244 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, Virginia | Statement: [Mount Vernon, Iowa, namedAfter, Mount Vernon, Virginia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mount Vernon, Virginia
Context triple: [Mount Vernon, Iowa, namedAfter, Mount Vernon, Virginia]
  • A. Mount Vernon, Virginia chosen
    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
    Mount Vernon is a city in Westchester County, New York, bordering the Bronx and known as a residential suburb of New York City.
  • C. Mount Vernon
    Mount Vernon is a small city in northwestern Washington State that serves as the administrative and commercial hub of Skagit County.
  • D. 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.
  • E. Mount Vernon, Baltimore, Maryland
    Mount Vernon, Baltimore, Maryland is a historic and culturally rich neighborhood known for its 19th-century architecture, arts institutions, and the landmark Washington Monument.
  • 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_69ca83a12d648190b1e4fe11e8a31890 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc69bc6e208190b0c01e3761c04799 completed April 1, 2026, 12:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfd0e7f090819093c7af51c3979978 completed April 3, 2026, 2:38 p.m.
Created at: March 30, 2026, 7:05 p.m.