Triple

T22238
Position Surface form Disambiguated ID Type / Status
Subject Silicon Valley E441 entity
Predicate contains P35 FINISHED
Object Fremont E28790 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: Fremont | Statement: [Silicon Valley, contains, Fremont]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fremont
Context triple: [Silicon Valley, contains, Fremont]
  • A. Fremont chosen
    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.
  • B. Sacramento
    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.
  • 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. Fresno
    Fresno is a major agricultural and economic center in California’s San Joaquin Valley, known for its role in the state’s farming industry and its diverse urban population.
  • E. San Jose
    San Jose is a major technology and innovation hub in Silicon Valley and one of the largest cities in Northern California.
  • 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_69a243b4ac2c8190b93c303df797b7b2 completed Feb. 28, 2026, 1:24 a.m.
NER Named-entity recognition batch_69a2466ab310819091842a0ea9fd25de completed Feb. 28, 2026, 1:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69a38b87ff148190b289118d1a513c2d completed March 1, 2026, 12:42 a.m.
Created at: Feb. 28, 2026, 1:34 a.m.