Triple

T3999009
Position Surface form Disambiguated ID Type / Status
Subject Richmond–Millbrae line E87165 entity
Predicate passesThrough P225 FINISHED
Object San Bruno E336824 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: San Bruno | Statement: [Richmond–Millbrae line, passesThrough, San Bruno]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: San Bruno
Context triple: [Richmond–Millbrae line, passesThrough, San Bruno]
  • A. San Bruno chosen
    San Bruno is a small city in San Mateo County, California, located just south of San Francisco and known for its proximity to San Francisco International Airport and the YouTube headquarters.
  • 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. 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.
  • 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_69aed94118148190975e6aa4e554cde9 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefa4065ac8190a898a1025365b8e9 completed March 9, 2026, 4:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69c9161f95a08190b68772a507936046 completed March 29, 2026, 12:07 p.m.
Created at: March 9, 2026, 3:34 p.m.