Triple

T463264
Position Surface form Disambiguated ID Type / Status
Subject Basin and Range Province E7387 entity
Predicate extendsInto P1673 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: [Basin and Range Province, extendsInto, Oregon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oregon
Context triple: [Basin and Range Province, extendsInto, 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. Washington
    Washington is a U.S. state in the Pacific Northwest known for its diverse landscapes, technology industry centered around Seattle, and significant cultural and economic influence on the West Coast.
  • C. Washington
    Washington is a small town in Dutchess County, New York, known for its rural character and the village of Millbrook within its borders.
  • D. Washington
    Washington is a common English surname most famously borne by George Washington, the first president of the United States.
  • E. Idaho
    Idaho is a mountainous, landlocked state in the northwestern United States known for its vast wilderness areas, outdoor recreation, and significant agricultural production, especially potatoes.
  • 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_69a2e7e5c5bc8190a1dc8178218fba40 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2efc214788190a8dff20fec4412e0 completed Feb. 28, 2026, 1:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69a5c38608948190b1fc28a2fec670ea completed March 2, 2026, 5:06 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.