Triple

T3928107
Position Surface form Disambiguated ID Type / Status
Subject Saratoga E93326 entity
Predicate adjacentTo P224 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: [Saratoga, adjacentTo, Cupertino]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cupertino
Context triple: [Saratoga, adjacentTo, 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. Milpitas
    Milpitas is a city in Santa Clara County, California, located at the southern end of the San Francisco Bay and known as part of Silicon Valley’s high-tech corridor.
  • 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_69aed96bfa1081908f7b30f2c647dee6 completed March 9, 2026, 2:30 p.m.
NER Named-entity recognition batch_69aeeda4f9d481908dda1b5a826ab64d completed March 9, 2026, 3:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5287b8d548190a929f14637cb9963 completed March 14, 2026, 9:20 a.m.
Created at: March 9, 2026, 3:23 p.m.