Triple

T13282913
Position Surface form Disambiguated ID Type / Status
Subject English Riviera E316367 entity
Predicate hasSeasideResort P10141 FINISHED
Object Paignton E553667 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: Paignton | Statement: [English Riviera, hasSeasideResort, Paignton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paignton
Context triple: [English Riviera, hasSeasideResort, Paignton]
  • A. Paignton chosen
    Paignton is a seaside town in Devon, England, known for its sandy beaches, traditional pier, and role as part of the English Riviera resort area.
  • B. Torquay
    Torquay is a coastal suburb of Hervey Bay in Queensland, Australia, known for its beaches and tourism amenities.
  • C. Torquay
    Torquay is a seaside resort town on the English Riviera in Devon, England, known for its mild climate, beaches, and Victorian-era tourism.
  • D. Teignmouth
    Teignmouth is a seaside town on the south coast of Devon, England, known for its historic port, sandy beaches, and scenic coastal railway views.
  • E. Brixham
    Brixham is a historic fishing town and port in Devon, England, known for its maritime heritage and role in traditional shipbuilding.
  • 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_69d806b349908190a9a61dd9323bf153 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d99047531c819087aa6406de1ddc82 completed April 11, 2026, 12:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7c6f5c0d88190b51cd65f6b7f8e6d completed May 3, 2026, 10:06 p.m.
Created at: April 9, 2026, 9:27 p.m.