Triple

T7335692
Position Surface form Disambiguated ID Type / Status
Subject Santa Rosa Junior College E169120 entity
Predicate locatedIn P40 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: [Santa Rosa Junior College, locatedIn, Santa Rosa, California]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Santa Rosa, California
Context triple: [Santa Rosa Junior College, locatedIn, Santa Rosa, California]
  • A. Santa Rosa
    Santa Rosa is a residential barrio (neighborhood) within the municipality of Dorado, Puerto Rico.
  • B. 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.
  • 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. Sonoma, California
    Sonoma, California is a historic city in California's Wine Country known for its vineyards, colonial-era plaza, and role in the early history of the state.
  • 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_69c68a568a6481908f11e20db7bc8446 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f0c38d6c81908a57ef1eea0e4951 completed March 27, 2026, 9:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7ef22d6ac819087f05d6e6787509a completed March 28, 2026, 3:09 p.m.
Created at: March 27, 2026, 3:04 p.m.