Triple

T12458289
Position Surface form Disambiguated ID Type / Status
Subject Woodinville E297717 entity
Predicate nearCity P350 FINISHED
Object Kirkland
Kirkland is a suburban city on the eastern shore of Lake Washington in Washington State, known for its waterfront parks, vibrant downtown, and role as part of the Seattle metropolitan area.
E1117005 NE FINISHED

How this triple was built (4 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: Kirkland | Statement: [Woodinville, nearCity, Kirkland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kirkland
Context triple: [Woodinville, nearCity, Kirkland]
  • A. Kirkland
    Kirkland is a suburban town located on the Island of Montreal in the Canadian province of Quebec.
  • B. Kirkland
    Kirkland is a surname most notably associated with American ballerina Gelsey Kirkland.
  • C. 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.
  • D. Lynnwood
    Lynnwood is a suburban city in Snohomish County, Washington, known as a major retail and residential hub just north of Seattle.
  • E. Edmonds
    Edmonds is an English-origin surname borne by various notable individuals in sports, politics, and the arts.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Kirkland
Triple: [Woodinville, nearCity, Kirkland]
Generated description
Kirkland is a suburban city on the eastern shore of Lake Washington in Washington State, known for its waterfront parks, vibrant downtown, and role as part of the Seattle metropolitan area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kirkland
Target entity description: Kirkland is a suburban city on the eastern shore of Lake Washington in Washington State, known for its waterfront parks, vibrant downtown, and role as part of the Seattle metropolitan area.
  • A. Kirkland
    Kirkland is a suburban town located on the Island of Montreal in the Canadian province of Quebec.
  • B. Kirkland
    Kirkland is a surname most notably associated with American ballerina Gelsey Kirkland.
  • C. 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.
  • D. Lynnwood
    Lynnwood is a suburban city in Snohomish County, Washington, known as a major retail and residential hub just north of Seattle.
  • E. Edmonds
    Edmonds is an English-origin surname borne by various notable individuals in sports, politics, and the arts.
  • F. None of above. chosen

Provenance (5 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_69d6ada270808190b1a2b2e7b02bb426 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94da46a588190bc888fafd6d1eb5d completed April 10, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdfb6b97888190923ce7a6e59ff752 completed May 8, 2026, 3:04 p.m.
NEDg Description generation batch_69fdffed6978819096b61adfe7eba2f0 completed May 8, 2026, 3:23 p.m.
NED2 Entity disambiguation (via description) batch_69fe00870b40819090cf6304272f714d completed May 8, 2026, 3:25 p.m.
Created at: April 8, 2026, 9:56 p.m.