Triple

T4274690
Position Surface form Disambiguated ID Type / Status
Subject Glen Ellen E97020 entity
Predicate locatedNear P294 FINISHED
Object Santa Rosa 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 | Statement: [Glen Ellen, locatedNear, Santa Rosa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Santa Rosa
Context triple: [Glen Ellen, locatedNear, Santa Rosa]
  • 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 residential barrio (neighborhood) within the municipality of Dorado, Puerto Rico.
  • C. Novato
    Novato is a suburban city in northern Marin County, California, known for its residential communities, open space preserves, and role as a gateway between the North Bay and the rest of the San Francisco Bay Area.
  • D. Gilroy
    Gilroy is a city in Santa Clara County, California, known for its garlic production and as the southern endpoint of Caltrain commuter rail service.
  • E. San Rafael
    San Rafael is a landlocked agricultural municipality in the province of Bulacan in the Philippines, known for its historical sites and growing suburban communities.
  • 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_69b34544be3c819084d1ab82d29f90c5 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3501abb74819086b2f04ac7a5c114 completed March 12, 2026, 11:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5db83dd308190a8d1824157d011ce completed March 14, 2026, 10:04 p.m.
Created at: March 12, 2026, 11:07 p.m.