Triple

T10785664
Position Surface form Disambiguated ID Type / Status
Subject Treaty of Dayton (1855) E254444 entity
Predicate location P40 FINISHED
Object Dayton, Oregon E217637 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: Dayton, Oregon | Statement: [Treaty of Dayton (1855), location, Dayton, Oregon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dayton, Oregon
Context triple: [Treaty of Dayton (1855), location, Dayton, Oregon]
  • A. Dayton, Oregon chosen
    Dayton, Oregon is a small historic city in Oregon’s Willamette Valley known for its agricultural surroundings and proximity to regional wine country.
  • B. Dayton, Washington
    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.
  • C. Durham, Oregon
    Durham, Oregon is a small suburban city in Washington County, located in the Portland metropolitan area of northwestern Oregon.
  • D. Stayton, Oregon
    Stayton, Oregon is a small city in the Willamette Valley known as a local commercial and residential hub southeast of Salem.
  • E. Brownsville, Oregon
    Brownsville, Oregon is a small historic city in the Willamette Valley known for its 19th-century architecture and as a filming location for the movie "Stand by Me."
  • 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_69d6aa609f008190a294200aefcb7bd5 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d732d44b488190a9f3ab9b177e737a completed April 9, 2026, 5:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69de5609bf9c81908f47591f74c04701 completed April 14, 2026, 2:58 p.m.
Created at: April 8, 2026, 9:17 p.m.