Triple

T1469119
Position Surface form Disambiguated ID Type / Status
Subject Ventura County E27093 entity
Predicate hasCity P316 FINISHED
Object Ventura E36984 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: Ventura | Statement: [Ventura County, hasCity, Ventura]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ventura
Context triple: [Ventura County, hasCity, Ventura]
  • A. Ventura, California chosen
    Ventura, California is a coastal city in Southern California known for its beaches, historic downtown, and role as a gateway to the nearby Channel Islands.
  • B. Ventura County
    Ventura County is a coastal county in Southern California known for its agricultural production, beaches, and suburban communities northwest of Los Angeles.
  • C. San Bernardino
    San Bernardino is a major inland city in Southern California known as a regional transportation hub and gateway to the Inland Empire.
  • D. Santa Barbara County
    Santa Barbara County is a coastal county in Southern California known for its Mediterranean climate, beaches, wine country, and the city of Santa Barbara.
  • E. Sonora, California
    Sonora, California is a historic Gold Rush-era city in the Sierra Nevada foothills that serves as a regional hub for outdoor recreation and access to nearby national forests and parks.
  • 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_69a496d25d6881909dbd84f86d763992 completed March 1, 2026, 7:43 p.m.
NER Named-entity recognition batch_69a4c5d8bb68819095b7b413247ad657 completed March 1, 2026, 11:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69ada0bd0f5c8190b5bfd26995f00a0c completed March 8, 2026, 4:15 p.m.
Created at: March 1, 2026, 8:01 p.m.