Triple

T5369512
Position Surface form Disambiguated ID Type / Status
Subject Sonoma Mountains E108811 entity
Predicate separates P1175 FINISHED
Object Petaluma Valley E517993 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: Petaluma Valley | Statement: [Sonoma Mountains, separates, Petaluma Valley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Petaluma Valley
Context triple: [Sonoma Mountains, separates, Petaluma Valley]
  • A. Petaluma Valley chosen
    Petaluma Valley is an agricultural and semi-rural valley in southern Sonoma County, California, known for its dairy farms, vineyards, and the city of Petaluma.
  • B. Sonoma Valley
    Sonoma Valley is a renowned wine-producing region in California celebrated for its vineyards, wineries, and scenic landscapes.
  • C. Cuyama Valley
    Cuyama Valley is a rural agricultural valley in central California known for its ranching, farming, and relatively remote, undeveloped landscape.
  • D. Douglas Valley
    Douglas Valley is a geographical area in the United Kingdom historically associated with the Douglas Navigation waterway.
  • E. Glen Ellen
    Glen Ellen is a small, historic wine-country village in California known for its vineyards, scenic landscapes, and association with writer Jack London.
  • 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_69bd440c77948190aad2a5f39b7b80f5 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd86873e0c8190bf5ecede2cc2bd8b completed March 20, 2026, 5:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf411955e8819082648e9a86fbaf7c completed March 22, 2026, 1:08 a.m.
Created at: March 20, 2026, 2:02 p.m.