Triple

T18892797
Position Surface form Disambiguated ID Type / Status
Subject Township of Brock E462132 entity
Predicate largestCommunity P2321 FINISHED
Object Beaverton NE NERFINISHED

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 | Statement: [Township of Brock, largestCommunity, Beaverton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Beaverton
Context triple: [Township of Brock, largestCommunity, Beaverton]
  • A. Beaverton chosen
    Beaverton is a small lakeside community in Ontario, Canada, situated on the eastern shore of Lake Simcoe and known for its marina, fishing, and cottage-country character.
  • B. Beaverton, Oregon
    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.
  • C. 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.”
  • D. Hillsboro
    Hillsboro is a small rural town in Pocahontas County, West Virginia, known for its scenic Appalachian setting and historic character.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8dcfc3430819095ee6fc0eb4c06a5 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5c47d392c81909297211c7d7610a1 completed April 20, 2026, 6:15 a.m.
Created at: April 10, 2026, 11:58 a.m.