Triple

T19417116
Position Surface form Disambiguated ID Type / Status
Subject Willapa River E485749 entity
Predicate near P350 FINISHED
Object South Bend, 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: South Bend, Washington | Statement: [Willapa River, near, South Bend, Washington]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: South Bend, Washington
Context triple: [Willapa River, near, South Bend, Washington]
  • A. South Bend, Washington chosen
    South Bend, Washington is a small coastal city on Willapa Bay known for its oyster industry and role as the county seat of Pacific County.
  • B. Burlington, Washington
    Burlington, Washington is a small city in Skagit County known as a regional retail hub and gateway to the Skagit Valley and nearby San Juan Islands.
  • C. Springfield, Washington
    Springfield, Washington is a small unincorporated community in Skagit County in the U.S. state of Washington.
  • D. Toledo, Washington
    Toledo, Washington is a small rural town in southwestern Washington State known for its close-knit community and location along the Cowlitz River.
  • E. Rochester, Washington
    Rochester, Washington is a small unincorporated community in western Washington State known for its rural character and proximity to the Chehalis River.
  • 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_69d8e8d688f881909c85104a62e09d8a completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e62afad8d881908f1de6324e55d2f6 completed April 20, 2026, 1:32 p.m.
Created at: April 10, 2026, 1:37 p.m.