Triple

T2804466
Position Surface form Disambiguated ID Type / Status
Subject Mount St. Helena E54018 entity
Predicate nearestCity P350 FINISHED
Object Calistoga, California E8770 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: Calistoga, California | Statement: [Mount St. Helena, nearestCity, Calistoga, California]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Calistoga, California
Context triple: [Mount St. Helena, nearestCity, Calistoga, California]
  • A. Calistoga chosen
    Calistoga is a small resort town in California’s Napa Valley known for its wineries, hot springs, and relaxed, historic charm.
  • B. 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.
  • 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. Napa
    Napa is a city in Northern California that serves as the commercial and cultural hub of the renowned Napa Valley wine region.
  • E. Sonoma Valley
    Sonoma Valley is a renowned wine-producing region in California celebrated for its vineyards, wineries, and scenic landscapes.
  • 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_69ab49dcee188190b5c6eca9ae9e3469 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abde1409148190a06a401185a26b64 completed March 7, 2026, 8:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69b20f2e10b0819090455b876abe821b completed March 12, 2026, 12:56 a.m.
Created at: March 6, 2026, 9:59 p.m.