Triple

T22234
Position Surface form Disambiguated ID Type / Status
Subject Silicon Valley E441 entity
Predicate contains P35 FINISHED
Object Santa Clara E13690 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 Clara | Statement: [Silicon Valley, contains, Santa Clara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Santa Clara
Context triple: [Silicon Valley, contains, Santa Clara]
  • A. Santa Clara chosen
    Santa Clara is a Silicon Valley city in California known for its high-tech industry presence, Levi’s Stadium, and Santa Clara University.
  • B. San Jose
    San Jose is a major technology and innovation hub in Silicon Valley and one of the largest cities in Northern California.
  • C. Santa Clara County
    Santa Clara County is a populous and economically significant county in California’s Silicon Valley, home to major technology companies and cities such as San Jose.
  • D. Redwood City, California
    Redwood City, California is a city on the San Francisco Peninsula in Silicon Valley, known for its historic downtown and role as the county seat of San Mateo County.
  • E. Contra Costa County
    Contra Costa County is a populous county in the San Francisco Bay Area known for its suburban communities, regional parks, and role as a residential and industrial hub east of Oakland and San Francisco.
  • 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_69a2e7dd6ee08190a99229eaf0ed2fff completed Feb. 28, 2026, 1:04 p.m.
Created at: Feb. 28, 2026, 1:34 a.m.