Triple

T14419768
Position Surface form Disambiguated ID Type / Status
Subject Sunshine Coast beaches E357550 entity
Predicate hasMajorBeach P1922 FINISHED
Object Dicky Beach E319347 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: Dicky Beach | Statement: [Sunshine Coast beaches, hasMajorBeach, Dicky Beach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dicky Beach
Context triple: [Sunshine Coast beaches, hasMajorBeach, Dicky Beach]
  • A. Dicky Beach chosen
    Dicky Beach is a coastal suburb and popular surf beach in the Caloundra region of Queensland, Australia, known for its relaxed atmosphere and seaside recreation.
  • B. Dameisha Beach
    Dameisha Beach is a popular seaside resort area in Shenzhen, China, known for its long sandy shoreline, swimming, and coastal recreation.
  • C. Handkerchief Beach
    Handkerchief Beach is a coastal beach near Narooma on the South Coast of New South Wales, Australia, known for its scenic shoreline and relatively quiet, natural setting.
  • D. Buccaneer Beach
    Buccaneer Beach is a small, family-friendly beach in Oceanside, California, known for its relaxed atmosphere, nearby park, and easy coastal access.
  • E. Back Beach
    Back Beach is a coastal beach area located in or near the town of Woolgoolga in New South Wales, Australia.
  • 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_69d82793421c8190861eb0e673b085de completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de910eb354819089d5d5a46919eb49 completed April 14, 2026, 7:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd5bc961c48190b67dceb2f07977fd completed May 8, 2026, 3:43 a.m.
Created at: April 10, 2026, 1:18 a.m.