Triple

T3792367
Position Surface form Disambiguated ID Type / Status
Subject Clatskanie, Oregon E89683 entity
Predicate hasRiver P165 FINISHED
Object Clatskanie River E438517 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: Clatskanie River | Statement: [Clatskanie, Oregon, hasRiver, Clatskanie River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Clatskanie River
Context triple: [Clatskanie, Oregon, hasRiver, Clatskanie River]
  • A. Clatskanie River chosen
    The Clatskanie River is a tributary of the Columbia River in northwestern Oregon, known for flowing through forested valleys and the town of Clatskanie before reaching the Columbia.
  • B. Necanicum River
    The Necanicum River is a coastal river in northwestern Oregon that flows through Clatsop County to the Pacific Ocean near the city of Seaside.
  • C. Salmon Creek
    Salmon Creek is a stream in New York’s Finger Lakes region that drains a largely rural watershed before emptying into Cayuga Lake.
  • D. Salmon Creek
    Salmon Creek is a community in Washington State named after the nearby waterway known for its salmon runs.
  • E. Pike River
    Pike River is a small river in southeastern Wisconsin that flows through Kenosha County before emptying into Lake Michigan.
  • 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_69aed9597d6881909b6ee3b9de859223 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aee769d68081908dcdd3d232dbb61c completed March 9, 2026, 3:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69b6131d07048190bbc735cf88d5ee60 completed March 15, 2026, 2:02 a.m.
Created at: March 9, 2026, 3:15 p.m.