Triple

T4560029
Position Surface form Disambiguated ID Type / Status
Subject Mom E120569 entity
Predicate settingLocation P40 FINISHED
Object Napa Valley, California E250 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 Valley, California | Statement: [Mom, settingLocation, Napa Valley, California]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Napa Valley, California
Context triple: [Mom, settingLocation, Napa Valley, California]
  • A. Napa Valley chosen
    Napa Valley is a renowned wine-producing region in Northern California, famous for its vineyards, wineries, and picturesque landscapes.
  • B. Napa
    Napa is a city in Northern California that serves as the commercial and cultural hub of the renowned Napa Valley wine region.
  • C. Sonoma, California
    Sonoma, California is a historic city in California's Wine Country known for its vineyards, colonial-era plaza, and role in the early history of the state.
  • D. Calistoga AVA
    Calistoga AVA is a recognized American Viticultural Area in northern Napa Valley known for its warm climate and production of robust Cabernet Sauvignon and other premium wines.
  • E. Yountville AVA
    Yountville AVA is a renowned American Viticultural Area in Napa Valley, California, known for its premium Cabernet Sauvignon and other Bordeaux-style wines.
  • 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_69bd4636f1648190a701445c2fcd9c17 completed March 20, 2026, 1:05 p.m.
NER Named-entity recognition batch_69bd582b871c8190be0b70c76d639000 completed March 20, 2026, 2:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdfa1eb59081909d0f6ac93c1d6639 completed March 21, 2026, 1:53 a.m.
Created at: March 20, 2026, 1:09 p.m.