Triple

T439861
Position Surface form Disambiguated ID Type / Status
Subject Hewlett Foundation E10090 entity
Predicate locatedIn 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: [Hewlett Foundation, locatedIn, Silicon Valley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Silicon Valley
Context triple: [Hewlett Foundation, locatedIn, 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. 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.
  • D. Cupertino
    Cupertino is a city in California best known as the longtime headquarters of Apple Inc. and a key hub of the global technology industry.
  • E. Palo Alto, California
    Palo Alto, California is a major Silicon Valley city known for its role as a global technology and innovation hub and as the home of Stanford University.
  • 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_69a2e8465ef481909655c681b01e2986 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2ef2977888190a0590b2c1bd2f5da completed Feb. 28, 2026, 1:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69a79277143c819091019a9ca625039f completed March 4, 2026, 2:01 a.m.
Created at: Feb. 28, 2026, 1:11 p.m.