Triple

T463655
Position Surface form Disambiguated ID Type / Status
Subject Napa E7396 entity
Predicate county P75 FINISHED
Object Napa County E73528 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: Napa County | Statement: [Napa, county, Napa County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Napa County
Context triple: [Napa, county, Napa County]
  • A. Napa County chosen
    Napa County is a renowned Northern California wine-producing region known for its vineyards, wineries, and scenic landscapes northeast of San Francisco.
  • B. Sonoma County, California
    Sonoma County, California is a Northern California region known for its extensive wine country, scenic Pacific coastline, and redwood forests north of the San Francisco Bay Area.
  • C. Solano County
    Solano County is a county in the San Francisco Bay Area–Sacramento Valley region known for its mix of suburban communities, agriculture, and key transportation corridors.
  • D. Calaveras County
    Calaveras County is a rural county in California’s Sierra Nevada foothills, known for its Gold Rush history, scenic landscapes, and annual frog-jumping contest made famous by Mark Twain.
  • E. Mendocino County
    Mendocino County is a coastal county in Northern California known for its rugged Pacific shoreline, redwood forests, and wine-producing Anderson Valley.
  • 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_69ac89e9da1481908837afa843a14510 completed March 7, 2026, 8:26 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.