Triple

T8949225
Position Surface form Disambiguated ID Type / Status
Subject Berlin, Oregon E213299 entity
Predicate isInUSState P31574 FINISHED
Object Oregon E1778 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: Oregon | Statement: [Berlin, Oregon, isInUSState, Oregon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oregon
Context triple: [Berlin, Oregon, isInUSState, Oregon]
  • A. Oregon chosen
    Oregon is a U.S. state in the Pacific Northwest known for its diverse landscapes, including rugged coastline, dense forests, mountains, and high desert, as well as its environmentally conscious culture.
  • B. Oregon
    Oregon is a village in Dane County, Wisconsin, known as a residential community just south of Madison.
  • C. Oregon and Washington
    Oregon and Washington are neighboring U.S. states in the Pacific Northwest, known for their shared border along the Columbia River and their diverse landscapes of coastline, forests, mountains, and high desert.
  • D. Oregon-R
    Oregon-R is a widely used wild-type laboratory strain of the fruit fly Drosophila melanogaster, serving as a standard reference in genetic and developmental biology research.
  • E. Washington
    Washington is the given first name of Uruguayan former professional footballer and coach Sebastián "Loco" Abreu.
  • 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_69ca839843408190a39069a029a89f15 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc670b5f50819080f1c73992fe5281 completed April 1, 2026, 12:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfeb3680f88190a977ac4c103423f2 completed April 3, 2026, 4:30 p.m.
Created at: March 30, 2026, 6:59 p.m.