Triple

T1244963
Position Surface form Disambiguated ID Type / Status
Subject Bennett Valley AVA E26742 entity
Predicate locatedNear P294 FINISHED
Object city of Santa Rosa E27583 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: city of Santa Rosa | Statement: [Bennett Valley AVA, locatedNear, city of Santa Rosa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: city of Santa Rosa
Context triple: [Bennett Valley AVA, locatedNear, city of Santa Rosa]
  • A. Santa Rosa chosen
    Santa Rosa is a mid-sized city in Sonoma County known as a cultural and economic hub of California’s wine country.
  • B. Santa Cruz, California
    Santa Cruz, California is a coastal city in Northern California known for its surf culture, beach boardwalk, and progressive university community.
  • C. City of Sonoma
    The City of Sonoma is a historic small city in California’s Wine Country, known for its colonial-era plaza, mission, and role in the early history of the state.
  • D. Sebastopol, California
    Sebastopol, California is a small city in Sonoma County known for its liberal politics, arts community, and location in Northern California’s wine country.
  • E. City of Davis
    The City of Davis is a college town in Northern California best known as the home of the University of California, Davis and for its strong emphasis on bicycling, sustainability, and agricultural research.
  • 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_69a4948689d08190b3a4a3f388c02148 completed March 1, 2026, 7:33 p.m.
NER Named-entity recognition batch_69a4bf6498948190b30b09d845d67ac4 completed March 1, 2026, 10:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac8f7da5c48190b013f1578c160d78 completed March 7, 2026, 8:50 p.m.
Created at: March 1, 2026, 7:47 p.m.