Triple

T5789880
Position Surface form Disambiguated ID Type / Status
Subject Esther Wojcicki E128364 entity
Predicate basedIn P40 FINISHED
Object Silicon Valley E441 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: Silicon Valley | Statement: [Esther Wojcicki, basedIn, Silicon Valley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Silicon Valley
Context triple: [Esther Wojcicki, basedIn, Silicon Valley]
  • A. Silicon Valley chosen
    Silicon Valley is a globally renowned technology and innovation hub in Northern California, home to many of the world’s leading tech companies and startups.
  • B. Silicon Forest
    Silicon Forest is a high-tech industry region in and around Portland, Oregon, known for its concentration of electronics, semiconductor, and technology companies.
  • C. Silicon Valley of the North
    "Silicon Valley of the North" is a nickname for Waterloo, Ontario, highlighting its status as a major Canadian hub for technology companies, startups, and innovation.
  • D. Menlo Park, California
    Menlo Park, California is a city in Silicon Valley known as a hub for technology and venture capital, home to major research institutions and tech companies.
  • E. Foster City, California
    Foster City, California is a planned waterfront suburb in the San Francisco Bay Area known for its extensive lagoon system, residential communities, and tech-industry presence.
  • 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_69c0084450048190bc647b649a05136b completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c02a5585788190821b8da40259e0e7 completed March 22, 2026, 5:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0981d9430819081e953dba9c2f8f8 completed March 23, 2026, 1:32 a.m.
Created at: March 22, 2026, 3:51 p.m.