Triple

T18549044
Position Surface form Disambiguated ID Type / Status
Subject Waitsburg, Washington E453318 entity
Predicate near P350 FINISHED
Object Dayton, Washington NE NERFINISHED

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: Dayton, Washington | Statement: [Waitsburg, Washington, near, Dayton, Washington]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dayton, Washington
Context triple: [Waitsburg, Washington, near, Dayton, Washington]
  • A. Dayton, Washington chosen
    Dayton, Washington is a small historic city in southeastern Washington State known for its preserved 19th-century architecture and role as a regional agricultural center.
  • B. Colfax, Washington
    Colfax, Washington is a small eastern Washington city that serves as the administrative and commercial hub of the surrounding agricultural region in Whitman County.
  • C. Davenport, Washington
    Davenport, Washington is a small rural city in eastern Washington that serves as the administrative and commercial hub of Lincoln County.
  • D. Brownstown, Washington
    Brownstown, Washington is a small unincorporated community located within the Yakama Indian Reservation in Yakima County.
  • E. Springfield, Washington
    Springfield, Washington is a small unincorporated community in Skagit County in the U.S. state of Washington.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8d388b0c881908e610a1c45b52640 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e534beeb408190a03f6d7c3f2ef389 completed April 19, 2026, 8:02 p.m.
Created at: April 10, 2026, 11:38 a.m.