Triple

T5815747
Position Surface form Disambiguated ID Type / Status
Subject North Shore of Oʻahu E128980 entity
Predicate hasBeach P1922 FINISHED
Object Sunset Beach E57626 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: Sunset Beach | Statement: [North Shore of Oʻahu, hasBeach, Sunset Beach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sunset Beach
Context triple: [North Shore of Oʻahu, hasBeach, Sunset Beach]
  • A. Sunset Beach
    Sunset Beach is a coastal suburb in Cape Town, South Africa, known for its scenic views of Table Mountain and popularity with kitesurfers and windsurfers.
  • B. Sunset Beach chosen
    Sunset Beach is a famous North Shore Oahu surf spot known for its massive winter waves and picturesque sunsets.
  • C. Sunrise Beach
    Sunrise Beach is a coastal suburb in Queensland, Australia, known for its sandy shoreline and relaxed residential atmosphere near Noosa.
  • D. Silver Beach
    Silver Beach is a famous scenic seaside resort area in Beihai, China, renowned for its fine white sand and gentle coastal waters.
  • E. Sunny Sands
    Sunny Sands is a popular sandy beach in Folkestone, Kent, known for its family-friendly atmosphere and traditional seaside charm.
  • 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_69c0084869e881908d7859492183ca7b completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0336344148190bcf417c0b9617cb9 completed March 22, 2026, 6:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0984c5f14819096dfabce4a83e332 completed March 23, 2026, 1:33 a.m.
Created at: March 22, 2026, 3:53 p.m.