Triple

T10100690
Position Surface form Disambiguated ID Type / Status
Subject Federal Way E216189 entity
Predicate adjacentTo P224 FINISHED
Object Kent, Washington E197043 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: Kent, Washington | Statement: [Federal Way, adjacentTo, Kent, Washington]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kent, Washington
Context triple: [Federal Way, adjacentTo, Kent, Washington]
  • A. Kenmore, Washington
    Kenmore, Washington is a small suburban city in King County located at the northern tip of Lake Washington, known for its residential neighborhoods, parks, and waterfront access.
  • B. Kingston, Washington
    Kingston, Washington is a small waterfront community on the Kitsap Peninsula known as a key ferry terminal linking the Olympic Peninsula area with the Seattle metropolitan region.
  • C. Kelso, Washington
    Kelso, Washington is a small city in southwestern Washington State located along the Cowlitz River and forming part of the Longview–Kelso metropolitan area.
  • D. Kent, Washington, United States chosen
    Kent is a major suburban city in King County, Washington, known for its diverse population, industrial and distribution centers, and location in the Green River Valley between Seattle and Tacoma.
  • E. Kirkland
    Kirkland is a suburban town located on the Island of Montreal in the Canadian province of Quebec.
  • 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_69ca83d039f08190b9d10363221c69fb completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cdd09878f88190bcfa2c81fb10e821 completed April 2, 2026, 2:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69deafff4b8c819099d47b48773c3629 completed April 14, 2026, 9:22 p.m.
Created at: March 30, 2026, 9:02 p.m.