Triple

T22276347
Position Surface form Disambiguated ID Type / Status
Subject CA 29 E550616 entity
Predicate passesThrough P225 FINISHED
Object Calistoga NE NERFINISHED

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 | Statement: [CA 29, passesThrough, Calistoga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Calistoga
Context triple: [CA 29, passesThrough, Calistoga]
  • 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. Napa
    Napa is a city in Northern California that serves as the commercial and cultural hub of the renowned Napa Valley wine region.
  • D. Wineville, California
    Wineville, California was a small rural community in Riverside County historically notorious as the site of the Wineville Chicken Coop Murders in the late 1920s.
  • 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 (2 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_69e11e43d8208190aff4f9cf7f2c2a8a completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f14ea7ebbc8190948e8994e988adb3 completed April 29, 2026, 12:19 a.m.
Created at: April 16, 2026, 8:40 p.m.