Triple

T232315
Position Surface form Disambiguated ID Type / Status
Subject Old Sacramento E4434 entity
Predicate partOf P40 FINISHED
Object Downtown Sacramento E438 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: Downtown Sacramento | Statement: [Old Sacramento, partOf, Downtown Sacramento]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Downtown Sacramento
Context triple: [Old Sacramento, partOf, Downtown Sacramento]
  • A. Sacramento chosen
    Sacramento is the capital city of the U.S. state of California, known for its role as the state’s political center and its historic roots in the Gold Rush era.
  • B. Fremont
    Fremont is a large suburban city in the San Francisco Bay Area known for its diverse population, tech industry presence, and proximity to Silicon Valley.
  • C. Stockton
    Stockton is a major inland port city in California’s Central Valley, known for its agricultural economy, diverse population, and role as a transportation and logistics hub.
  • D. Riverside
    Riverside is a major inland city in Southern California known as the birthplace of the California citrus industry and a key center of the Inland Empire region.
  • E. Financial District (San Francisco)
    The Financial District in San Francisco is the city’s primary central business hub, characterized by its dense cluster of skyscrapers, corporate headquarters, and major financial institutions.
  • 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_69a257363ffc81909757bde7ab3404da completed Feb. 28, 2026, 2:47 a.m.
NER Named-entity recognition batch_69a25caf59948190bacac41a6ed84cb6 completed Feb. 28, 2026, 3:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69a37952cbbc8190afd920510408fd31 completed Feb. 28, 2026, 11:25 p.m.
Created at: Feb. 28, 2026, 2:53 a.m.