Triple

T15722660
Position Surface form Disambiguated ID Type / Status
Subject Mukilteo E381138 entity
Predicate adjacentTo P224 FINISHED
Object Lynnwood, Washington E154161 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: Lynnwood, Washington | Statement: [Mukilteo, adjacentTo, Lynnwood, Washington]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lynnwood, Washington
Context triple: [Mukilteo, adjacentTo, Lynnwood, Washington]
  • A. Lynnwood chosen
    Lynnwood is a suburban city in Snohomish County, Washington, known as a major retail and residential hub just north of Seattle.
  • B. Edmonds, Washington
    Edmonds, Washington is a coastal city in Snohomish County known for its Puget Sound waterfront, ferry terminal, and role as a commuter hub north of Seattle.
  • C. Lakewood, Washington
    Lakewood, Washington is a suburban city in Pierce County known for its proximity to Joint Base Lewis–McChord, multiple lakes, and its role as part of the greater Tacoma metropolitan area.
  • D. Kirkland
    Kirkland is a surname most notably associated with American ballerina Gelsey Kirkland.
  • E. 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.
  • 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_69d86d9bf930819082b30cf6d169297c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04fb1fdd4819088f3e243263e5f73 completed April 16, 2026, 2:55 a.m.
NED1 Entity disambiguation (via context triple) batch_6a003c4303888190a93830ef534715ae completed May 10, 2026, 8:05 a.m.
Created at: April 10, 2026, 4:45 a.m.