Triple

T2086000
Position Surface form Disambiguated ID Type / Status
Subject U.S. Route 395 E45350 entity
Predicate servesCity P82 FINISHED
Object Lakeview, Oregon E304187 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: Lakeview, Oregon | Statement: [U.S. Route 395, servesCity, Lakeview, Oregon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lakeview, Oregon
Context triple: [U.S. Route 395, servesCity, Lakeview, Oregon]
  • A. Lakeview, Oregon chosen
    Lakeview, Oregon is a small rural town in south-central Oregon known as the “Tallest Town in Oregon” for its high elevation and its role as a gateway to the state’s high desert and outdoor recreation areas.
  • B. Fairview, Oregon
    Fairview, Oregon is a small suburban city in the Portland metropolitan area in northwestern Oregon.
  • C. Lake Oswego, Oregon
    Lake Oswego, Oregon is an affluent suburban city in the Portland metropolitan area known for its scenic lake, high-ranking schools, and residential character.
  • D. Lafayette, Oregon
    Lafayette, Oregon is a small historic city in Oregon’s Willamette Valley, known as one of the early settlements in the region and now part of the Portland metropolitan area.
  • 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 (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_69a8891869c88190a02643e3bb746f59 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abba54ec048190bfe378aef1cc8086 completed March 7, 2026, 5:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69b28d7afe8c81908eda4fd11abcb476 completed March 12, 2026, 9:55 a.m.
Created at: March 4, 2026, 7:41 p.m.