Triple

T4233085
Position Surface form Disambiguated ID Type / Status
Subject Quarterflash E94625 entity
Predicate placeOfOrigin P3743 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: [Quarterflash, placeOfOrigin, Oregon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oregon
Context triple: [Quarterflash, placeOfOrigin, 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. Washington
    Washington is a common English surname most famously borne by George Washington, the first president of the United States.
  • E. Washington
    Washington is a small town in Dutchess County, New York, known for its rural character and the village of Millbrook within its borders.
  • 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_69b34537cc6481909cd0a96acbb33ef7 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b34e65720c819087c4022c774ff7c3 completed March 12, 2026, 11:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5b77632d08190ab7c12986e2cee61 completed March 14, 2026, 7:31 p.m.
Created at: March 12, 2026, 11:05 p.m.