Triple

T15350211
Position Surface form Disambiguated ID Type / Status
Subject E.D. Wash. E367030 entity
Predicate seatLocation P18921 FINISHED
Object Yakima, Washington E307967 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: Yakima, Washington | Statement: [E.D. Wash., seatLocation, Yakima, Washington]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yakima, Washington
Context triple: [E.D. Wash., seatLocation, Yakima, Washington]
  • A. 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.
  • B. Walla Walla
    Walla Walla is a small rural town in the Riverina region of New South Wales, Australia, known for its agricultural community and historic German heritage.
  • C. Yakima, Washington, United States chosen
    Yakima is a city in central Washington State known for its agricultural production—especially apples and wine grapes—and as the childhood home of writer Raymond Carver.
  • D. Yakima
    Yakima is a city in south-central Washington State known as a major agricultural hub, particularly for apples, hops, and wine grapes.
  • E. Okanogan, Washington
    Okanogan, Washington is a small city in north-central Washington State that serves as an administrative and commercial hub for the surrounding rural region.
  • 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_69d85a1355608190a6673ddb67231d54 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e27f8a88190a0f65756e3a1fdfc completed April 16, 2026, 1:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff1341033881909121ade33cecaf50 completed May 9, 2026, 10:58 a.m.
Created at: April 10, 2026, 3:17 a.m.