Triple

T8091675
Position Surface form Disambiguated ID Type / Status
Subject Puyallup River E188880 entity
Predicate flowsThrough P225 FINISHED
Object Puyallup, Washington E284955 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: Puyallup, Washington | Statement: [Puyallup River, flowsThrough, Puyallup, Washington]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Puyallup, Washington
Context triple: [Puyallup River, flowsThrough, Puyallup, Washington]
  • A. Puyallup chosen
    Puyallup is a city in Washington State known for its annual Washington State Fair and its location in the Puyallup River Valley southeast of Tacoma.
  • B. Poulsbo
    Poulsbo is a small waterfront city in Washington State known for its Scandinavian heritage and charming downtown on Liberty Bay.
  • C. Pullman, Washington
    Pullman, Washington is a small college town in southeastern Washington known primarily as the home of Washington State University and its surrounding agricultural region.
  • D. Medina, Washington
    Medina, Washington is an affluent suburban city on the eastern shore of Lake Washington, best known as the home of Bill Gates and other prominent tech figures.
  • E. Walla Walla, Washington
    Walla Walla, Washington is a small city in southeastern Washington State known for its historic downtown, agricultural roots, and thriving wine industry.
  • 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_69ca82b7b3e88190b9041ab0ef28b3cb completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb42217a1881909792b08a2f06fb75 completed March 31, 2026, 3:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69cdc65afac4819094282e7d63619111 completed April 2, 2026, 1:28 a.m.
Created at: March 30, 2026, 5:30 p.m.