Triple

T8810945
Position Surface form Disambiguated ID Type / Status
Subject Emperor of the North E209656 entity
Predicate setting P1957 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: [Emperor of the North, setting, Oregon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oregon
Context triple: [Emperor of the North, setting, 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_69ca8363f3308190a47e3f1ebd51f613 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5fed18f8819087b0282bf8c4208c completed March 31, 2026, 11:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69cfa02a610c8190b3a63f52c7bda7b2 completed April 3, 2026, 11:10 a.m.
Created at: March 30, 2026, 6:45 p.m.