Triple

T6366651
Position Surface form Disambiguated ID Type / Status
Subject Santa Ynez Valley E143244 entity
Predicate contains P35 FINISHED
Object Buellton E153353 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: Buellton | Statement: [Santa Ynez Valley, contains, Buellton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Buellton
Context triple: [Santa Ynez Valley, contains, Buellton]
  • A. Buellton chosen
    Buellton is a small city in California’s Santa Ynez Valley known for its wineries, roadside attractions, and role as a gateway to the Santa Barbara wine country.
  • B. Burtonwood
    Burtonwood is a village in Cheshire, England, historically associated with coal mining and the former RAF Burtonwood airbase.
  • C. Bishopton
    Bishopton is a village in western Scotland known for its rural character and proximity to the River Clyde and the city of Glasgow.
  • D. Fairburn
    Fairburn is a small suburban city in Fulton County, Georgia, that forms part of the greater Atlanta metropolitan area.
  • E. Burrell
    Burrell is the surname of former Major League Baseball outfielder and two-time World Series champion Pat Burrell.
  • 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_69c008d8c61081908bcaf61510d881ed completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c06811de2881909ead116117956981 completed March 22, 2026, 10:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69c62d8059588190a7d052889b25a8b6 completed March 27, 2026, 7:10 a.m.
Created at: March 22, 2026, 4:32 p.m.