Triple

T13990875
Position Surface form Disambiguated ID Type / Status
Subject Marshall Hall, Maryland E336568 entity
Predicate locatedNear P294 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: [Marshall Hall, Maryland, locatedNear, Mount Vernon, Virginia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mount Vernon, Virginia
Context triple: [Marshall Hall, Maryland, locatedNear, 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 small city in northwestern Washington State that serves as the administrative and commercial hub of Skagit County.
  • C. 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.
  • 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 a small city in Posey County, Indiana, situated along the Ohio River and known for its regional industrial and agricultural activities.
  • 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_69d81c639e808190a0e4b4f3d31c6a59 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2eb22e388190904fc87765176c91 completed April 14, 2026, 12:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69fbac98ca448190b585ef69a4e4bfca completed May 6, 2026, 9:03 p.m.
Created at: April 9, 2026, 10:18 p.m.