Triple

T9516314
Position Surface form Disambiguated ID Type / Status
Subject Northwest Washington E229533 entity
Predicate includesCity P3207 FINISHED
Object Mount Vernon E286803 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: [Northwest Washington, includesCity, Mount Vernon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mount Vernon
Context triple: [Northwest Washington, includesCity, 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 chosen
    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 plantation
    Mount Vernon plantation is the historic Virginia estate best known as the home of George Washington, the first president of the United States.
  • E. George Washington’s Mount Vernon museum
    George Washington’s Mount Vernon museum is a historic estate and museum in Virginia that preserves and interprets the home, life, and legacy of the first president of the United States.
  • 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_69ca84777560819084cddd999badc1aa completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd987eefec8190b0db1928776bf02b completed April 1, 2026, 10:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69d13a44c3c08190a09277737c7a98e0 completed April 4, 2026, 4:20 p.m.
Created at: March 30, 2026, 7:58 p.m.