Triple

T4240406
Position Surface form Disambiguated ID Type / Status
Subject Umatilla County, Oregon E95396 entity
Predicate hasEconomicCenter P1027 FINISHED
Object Hermiston, Oregon E426916 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: Hermiston, Oregon | Statement: [Umatilla County, Oregon, hasEconomicCenter, Hermiston, Oregon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hermiston, Oregon
Context triple: [Umatilla County, Oregon, hasEconomicCenter, Hermiston, Oregon]
  • A. Hermiston, Oregon chosen
    Hermiston, Oregon is a small city in northeastern Oregon known as an agricultural and transportation hub in the Columbia Basin.
  • B. Aumsville, Oregon
    Aumsville, Oregon is a small city in the Willamette Valley region of western Oregon, located southeast of Salem.
  • C. Sutherlin, Oregon
    Sutherlin, Oregon is a small city in western Oregon known for its proximity to Interstate 5, outdoor recreation, and its location in the Umpqua Valley wine region.
  • D. Milton-Freewater, Oregon
    Milton-Freewater, Oregon is a small agricultural city in northeastern Oregon known for its orchards and proximity to the Walla Walla Valley wine region.
  • E. Hillsboro
    Hillsboro is a major city in the Portland metropolitan area known as a hub of Oregon’s high-tech industry, often referred to as part of the “Silicon Forest.”
  • 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_69b3453d91548190b4d4ef8fe52aa2ac completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b34e77fb5c8190b298818acb68ff63 completed March 12, 2026, 11:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69bec336e95881908c18b304b6d92411 completed March 21, 2026, 4:11 p.m.
Created at: March 12, 2026, 11:05 p.m.