Triple

T19274887
Position Surface form Disambiguated ID Type / Status
Subject Fort to Sea Trail E482022 entity
Predicate near P350 FINISHED
Object Warrenton, Oregon 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: Warrenton, Oregon | Statement: [Fort to Sea Trail, near, Warrenton, Oregon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Warrenton, Oregon
Context triple: [Fort to Sea Trail, near, Warrenton, Oregon]
  • A. Warrenton, Oregon chosen
    Warrenton, Oregon is a small coastal city near the mouth of the Columbia River known for its fishing, maritime history, and proximity to Fort Stevens State Park.
  • B. Winston, Oregon
    Winston, Oregon is a small city in southwestern Oregon known as the home of the Wildlife Safari drive-through animal park.
  • C. Weston, Oregon
    Weston, Oregon is a small rural city in northeastern Oregon known for its agricultural surroundings and location in the foothills of the Blue Mountains.
  • D. 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."
  • E. Walterville, Oregon
    Walterville, Oregon is an unincorporated community in Lane County known for its rural setting along the McKenzie River east of Eugene.
  • 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_69d8e8ce54cc8190998418ff1f66ef28 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fbbb2fc08190b417a6d0b7a9d6b8 completed April 20, 2026, 10:11 a.m.
Created at: April 10, 2026, 1:29 p.m.