Triple

T21365366
Position Surface form Disambiguated ID Type / Status
Subject Berryessa Creek E526895 entity
Predicate region P40 FINISHED
Object South Bay — 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: South Bay | Statement: [Berryessa Creek, region, South Bay]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: South Bay
Context triple: [Berryessa Creek, region, South Bay]
  • A. South Bay chosen
    South Bay is the southern region of the San Francisco Bay Area, known for encompassing much of Silicon Valley and several major tech-centric cities.
  • B. South Bay
    South Bay is a coastal region in southwestern Los Angeles County known for its beach cities, aerospace industry presence, and suburban communities.
  • C. South Bay
    South Bay is the southern arm of Humboldt Bay on California’s North Coast, known for its tidal wetlands and estuarine habitat.
  • D. South Bay
    South Bay is a popular sandy beach and sheltered bay on the North Sea coast at Scarborough, North Yorkshire, known for its traditional seaside attractions and promenade.
  • E. South Bay
    South Bay was the historical name of the small town now known as Bucoda in Washington State.
  • 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_69e0b51d8a308190b09113b3b3f9bc15 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e8b06e1ba081908a96928a65da5fa2 completed April 22, 2026, 11:26 a.m.
Created at: April 16, 2026, 5:09 p.m.