Triple

T1456256
Position Surface form Disambiguated ID Type / Status
Subject Cooper Mountain E31406 entity
Predicate adjacentTo P224 FINISHED
Object Beaverton, Oregon E36936 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: Beaverton, Oregon | Statement: [Cooper Mountain, adjacentTo, Beaverton, Oregon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Beaverton, Oregon
Context triple: [Cooper Mountain, adjacentTo, Beaverton, Oregon]
  • A. Beaverton, Oregon chosen
    Beaverton, Oregon is a major suburban city in the Portland metropolitan area known for its residential communities, tech industry presence, and proximity to Nike’s world headquarters.
  • B. Tualatin, Oregon
    Tualatin, Oregon is a suburban city in the Portland metropolitan area known for its residential communities, retail centers, and proximity to major regional employers.
  • C. Tigard, Oregon
    Tigard, Oregon is a suburban city in the Portland metropolitan area known for its residential communities, retail centers, and access to regional transportation.
  • D. Eugene, Oregon
    Eugene, Oregon is a mid-sized city in western Oregon known for its vibrant arts scene, outdoor recreation, and the University of Oregon.
  • 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_69a49917dfc081909acdbdf5d684f1ef completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c581714881909bf4c2bad9645176 completed March 1, 2026, 11:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69b0fc0a32ec819089d3e4f7d7b86c89 completed March 11, 2026, 5:22 a.m.
Created at: March 1, 2026, 8 p.m.