Triple

T6195372
Position Surface form Disambiguated ID Type / Status
Subject Mariano Guadalupe Vallejo E138496 entity
Predicate residence P75 FINISHED
Object Petaluma, California E266046 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, California | Statement: [Mariano Guadalupe Vallejo, residence, Petaluma, California]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Petaluma, California
Context triple: [Mariano Guadalupe Vallejo, residence, Petaluma, California]
  • A. Petaluma, California chosen
    Petaluma, California is a historic city in the North Bay region of the San Francisco Bay Area known for its well-preserved downtown, agricultural roots, and proximity to wine country.
  • B. Santa Rosa
    Santa Rosa is a mid-sized city in Sonoma County known as a cultural and economic hub of California’s wine country.
  • C. 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.
  • D. 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.
  • E. Santa Rosa
    Santa Rosa is a residential barrio (neighborhood) within the municipality of Dorado, Puerto Rico.
  • 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_69c008ab9b3081908a11b2c744838435 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0624571508190bd273b4a051fbe41 completed March 22, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69c62d0a11e881908bdef0e61fe3e7e3 completed March 27, 2026, 7:08 a.m.
Created at: March 22, 2026, 4:20 p.m.