Triple

T3558779
Position Surface form Disambiguated ID Type / Status
Subject Washo language E75283 entity
Predicate traditionalRegion P1968 FINISHED
Object Nevada E2834 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: Nevada | Statement: [Washo language, traditionalRegion, Nevada]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nevada
Context triple: [Washo language, traditionalRegion, Nevada]
  • A. Nevada chosen
    Nevada is a western U.S. state known for its vast deserts, legalized gambling, and the entertainment hub of Las Vegas.
  • B. Nevada
    Nevada is a small city in western Missouri known as the county seat of Vernon County and for its historic downtown and regional agricultural economy.
  • C. Nevada, Texas
    Nevada, Texas is a small rural city in Collin County known for its quiet residential character within the Dallas–Fort Worth metropolitan area.
  • D. Nevada Territory
    Nevada Territory was a 19th-century organized incorporated territory of the United States that preceded the state of Nevada, known for its mining boom and role in the American West.
  • E. Utah
    Utah is a landlocked state in the western United States known for its vast deserts, distinctive red rock landscapes, and prominent national parks such as Zion and Arches.
  • 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_69ad85d45090819086f34fb85d850a1e completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc0881d50819092332491b9527c9d completed March 8, 2026, 6:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69b402e41b8c8190b6221725c7a84532 completed March 13, 2026, 12:28 p.m.
Created at: March 8, 2026, 3:20 p.m.