Triple

T19604777
Position Surface form Disambiguated ID Type / Status
Subject Wood Village City Hall E470576 entity
Predicate locatedIn P40 FINISHED
Object Wood Village, Oregon 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: Wood Village, Oregon | Statement: [Wood Village City Hall, locatedIn, Wood Village, Oregon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wood Village, Oregon
Context triple: [Wood Village City Hall, locatedIn, Wood Village, Oregon]
  • A. Wood Village, Oregon chosen
    Wood Village, Oregon is a small suburban city in the Portland metropolitan area known for its residential character and proximity to major transportation routes.
  • B. Wilsonville, Oregon
    Wilsonville, Oregon is a suburban city in the Portland metropolitan area known for its residential communities, business parks, and proximity to major transportation corridors.
  • C. Walterville, Oregon
    Walterville, Oregon is an unincorporated community in Lane County known for its rural setting along the McKenzie River east of Eugene.
  • D. Village of Oregon
    The Village of Oregon is a small suburban community in Dane County, Wisconsin, located just south of Madison.
  • E. Oakridge, Oregon
    Oakridge, Oregon is a small city in the Cascade Range known as a gateway to outdoor recreation, particularly mountain biking, hiking, and forest activities.
  • 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_69d8e510024481908415c0d616fa6186 completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e640c6cb3c819096b8093499d8e1ad completed April 20, 2026, 3:05 p.m.
Created at: April 10, 2026, 1:43 p.m.