Triple

T5788797
Position Surface form Disambiguated ID Type / Status
Subject Torbay E128338 entity
Predicate marketedAs P1395 FINISHED
Object English Riviera E316367 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: English Riviera | Statement: [Torbay, marketedAs, English Riviera]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: English Riviera
Context triple: [Torbay, marketedAs, English Riviera]
  • A. English Riviera chosen
    The English Riviera is a popular holiday region on the south coast of Devon, England, famed for its mild climate, sandy beaches, and resort towns such as Torquay, Paignton, and Brixham.
  • B. Riviera
    Riviera is a television drama series centered on wealth, crime, and intrigue along the glamorous French Riviera.
  • C. The Riviera
    The Riviera is an affluent residential neighborhood in Los Angeles’ Pacific Palisades known for its luxury homes, exclusive country club, and proximity to the Santa Monica Mountains and Pacific Ocean.
  • D. Riviera region
    The Riviera region is a picturesque area along the northeastern shore of Lake Geneva in Switzerland, known for its mild climate, lakeside resorts, and scenic Alpine backdrop.
  • E. South African coast
    The South African coast is a biodiverse marine and coastal region where cold and warm ocean currents meet, supporting rich ecosystems of kelp forests, rocky shores, and abundant marine life.
  • 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_69c0084450048190bc647b649a05136b completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c02a53d0148190bdebc4f5609939ac completed March 22, 2026, 5:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0981d9430819081e953dba9c2f8f8 completed March 23, 2026, 1:32 a.m.
Created at: March 22, 2026, 3:51 p.m.