Triple

T21169103
Position Surface form Disambiguated ID Type / Status
Subject Byte Shop E521645 entity
Predicate locationCity P3207 FINISHED
Object Mountain View, California NE NERFINISHED

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: [Byte Shop, locationCity, Mountain View, California]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mountain View, California
Context triple: [Byte Shop, locationCity, 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. Mountain View
    Mountain View is a small unincorporated community in Contra Costa County, California, located in the San Francisco Bay Area.
  • E. Mountain View
    Mountain View is a small rural village in southern Alberta, Canada, situated within Cardston County near the Rocky Mountains.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b50e30748190b186824a206d39b9 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e72711be9481909f16107b71d3500a completed April 21, 2026, 7:28 a.m.
Created at: April 16, 2026, 3 p.m.