Triple

T2139443
Position Surface form Disambiguated ID Type / Status
Subject Jeff Dean E46726 entity
Predicate workLocation P7 FINISHED
Object Mountain View, California E136669 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: Mountain View, California | Statement: [Jeff Dean, workLocation, Mountain View, California]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mountain View, California
Context triple: [Jeff Dean, workLocation, Mountain View, California]
  • A. Mountain View, California, United States chosen
    Mountain View, California, United States is a Silicon Valley city known as a major technology hub and home to numerous high-profile tech companies.
  • B. 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.
  • C. Mountain View
    Mountain View is a Silicon Valley city in Northern California best known as a major technology hub and the home of companies like Google.
  • 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_69a88a174ab48190a5db20c132e5dccf completed March 4, 2026, 7:37 p.m.
NER Named-entity recognition batch_69abbe025d3c81908bcb33a7ff09eae8 completed March 7, 2026, 5:56 a.m.
NED1 Entity disambiguation (via context triple) batch_69bfd2366a3c819097391ad8731c21a8 completed March 22, 2026, 11:27 a.m.
Created at: March 4, 2026, 7:44 p.m.