Triple

T7716219
Position Surface form Disambiguated ID Type / Status
Subject Sautter E174891 entity
Predicate hasSpellingVariant P457 FINISHED
Object Sutter E29757 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: Sutter | Statement: [Sautter, hasSpellingVariant, Sutter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sutter
Context triple: [Sautter, hasSpellingVariant, Sutter]
  • A. Sutter chosen
    Sutter is a surname of German origin most notably associated with John Sutter, a 19th-century pioneer linked to the California Gold Rush.
  • B. Folsom
    Folsom is a city in Northern California known for Folsom Lake, outdoor recreation, and its historic state prison famously referenced in Johnny Cash’s “Folsom Prison Blues.”
  • C. Sutter Creek
    Sutter Creek is a historic Gold Rush-era town in California’s Sierra Nevada foothills, known for its preserved 19th-century architecture and mining heritage.
  • D. Sutro
    Sutro is a small unincorporated community in Storey County, Nevada, historically associated with the nearby Comstock Lode mining operations.
  • E. Natomas
    Natomas is a large, fast-growing residential and commercial district in northwestern Sacramento, California, known for its suburban neighborhoods, shopping centers, and proximity to downtown and the airport.
  • 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_69c6995c463c8190a14458036249d419 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c702cd0ddc8190aa23d998f55d0bd6 completed March 27, 2026, 10:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8b50cf3208190af9bb2d4126d381b completed March 29, 2026, 5:13 a.m.
Created at: March 27, 2026, 4:04 p.m.