Triple

T845047
Position Surface form Disambiguated ID Type / Status
Subject Marin County E18258 entity
Predicate largestCity P235 FINISHED
Object San Rafael E171903 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: San Rafael | Statement: [Marin County, largestCity, San Rafael]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: San Rafael
Context triple: [Marin County, largestCity, San Rafael]
  • A. San Rafael chosen
    San Rafael is a city in the North Bay region of the San Francisco Bay Area in California, known for its historic downtown and role as a cultural and economic hub of Marin County.
  • B. Santa Cruz
    Santa Cruz is a notable wine-producing city in central Chile’s Colchagua Valley, recognized for its vineyards, tourism, and colonial charm.
  • C. Santa Rosa
    Santa Rosa is a mid-sized city in Sonoma County known as a cultural and economic hub of California’s wine country.
  • D. Bolinas
    Bolinas is a small, unincorporated coastal community in Northern California known for its secluded beaches, artistic residents, and long-standing resistance to tourism and development.
  • E. Point Arena
    Point Arena is a small coastal city in Northern California known for its rugged Pacific shoreline, historic lighthouse, and scenic views along the Mendocino County coast.
  • 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_69a4938b04208190b82e1df6b572c548 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ac09249c8190a8099b94a3c9e2cc completed March 1, 2026, 9:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad293209648190a380175f85d6efcc completed March 8, 2026, 7:45 a.m.
Created at: March 1, 2026, 7:38 p.m.