Triple

T946844
Position Surface form Disambiguated ID Type / Status
Subject South Bay E20431 entity
Predicate contains P35 FINISHED
Object Cupertino E32765 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: Cupertino | Statement: [South Bay, contains, Cupertino]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cupertino
Context triple: [South Bay, contains, Cupertino]
  • A. Cupertino chosen
    Cupertino is a city in California best known as the longtime headquarters of Apple Inc. and a key hub of the global technology industry.
  • B. Sunnyvale
    Sunnyvale is a major Silicon Valley city in Northern California known for its high-tech industry presence and suburban residential communities.
  • C. Sunnyvale
    Sunnyvale is a suburban town in the Dallas–Fort Worth metropolitan area known for its residential character and proximity to Dallas, Texas.
  • D. 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.
  • E. San Mateo
    San Mateo is a city in California’s San Francisco Bay Area, known for its suburban neighborhoods, parks, and role as a commercial and residential hub on the Peninsula.
  • 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_69a493b0f2fc81908cd227480a5356a1 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b3bcad2481908b83575b2fb80d14 completed March 1, 2026, 9:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69acaca8b4f08190aec2602935bc112e completed March 7, 2026, 10:54 p.m.
Created at: March 1, 2026, 7:40 p.m.