Triple

T13356559
Position Surface form Disambiguated ID Type / Status
Subject Windsor, California E318707 entity
Predicate near P350 FINISHED
Object Santa Rosa, California E27583 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: Santa Rosa, California | Statement: [Windsor, California, near, Santa Rosa, California]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Santa Rosa, California
Context triple: [Windsor, California, near, Santa Rosa, California]
  • A. Santa Rosa chosen
    Santa Rosa is a mid-sized city in Sonoma County known as a cultural and economic hub of California’s wine country.
  • B. Santa Rosa
    Santa Rosa is a rapidly urbanizing city in the Philippine province of Laguna, known as a major industrial, commercial, and residential hub in the Calabarzon region.
  • C. Santa Rosa
    Santa Rosa is a small settlement located on Santa Cruz Island in the Galápagos archipelago of Ecuador.
  • D. Santa Rosa
    Santa Rosa is a residential barrio (neighborhood) within the municipality of Dorado, Puerto Rico.
  • E. Santa Rosa
    Santa Rosa is the principal city and administrative center of Argentina’s La Pampa Province, known for its role as a regional hub in the country’s central plains.
  • 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_69d806b7bbac8190b85278c87fa7aff3 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dadcd4cb008190af99c4856e76ac08 completed April 11, 2026, 11:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7306668288190ae8dc05ebadb4975 completed May 3, 2026, 11:24 a.m.
Created at: April 9, 2026, 9:32 p.m.