Triple

T2040937
Position Surface form Disambiguated ID Type / Status
Subject Northwest Washington Fair E44741 entity
Predicate city P40 FINISHED
Object Lynden E7510 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: Lynden | Statement: [Northwest Washington Fair, city, Lynden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lynden
Context triple: [Northwest Washington Fair, city, Lynden]
  • A. Lynden, Washington chosen
    Lynden, Washington is a small city in Whatcom County known for its strong Dutch-American heritage, dairy farming, and traditional festivals.
  • B. Kirklands
    Kirklands is a variant name that most commonly refers to Kirkland, a city in Washington State and a private-label brand used by Costco.
  • C. Kirkland
    Kirkland is a suburban town located on the Island of Montreal in the Canadian province of Quebec.
  • D. Renton
    Renton is a suburban city in Washington State located just southeast of Seattle, known for its Boeing facilities and position at the south end of Lake Washington.
  • E. 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.
  • 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_69a889159ec481908f9e4472d9f480c7 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abb9545aa08190ac74e49e70c4c349 completed March 7, 2026, 5:36 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae304cc62c81909d152ee6ae543d7e completed March 9, 2026, 2:28 a.m.
Created at: March 4, 2026, 7:39 p.m.