Triple

T20491467
Position Surface form Disambiguated ID Type / Status
Subject Huskisson E502754 entity
Predicate region P40 FINISHED
Object South Coast NE NERFINISHED

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: South Coast | Statement: [Huskisson, region, South Coast]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: South Coast
Context triple: [Huskisson, region, South Coast]
  • A. South Coast
    The South Coast is a popular coastal region of KwaZulu-Natal, South Africa, known for its beaches, subtropical climate, and holiday resorts along the Indian Ocean.
  • B. South Coast
    South Coast is the southernmost stretch of California’s coastline, known for its major cities, beaches, and Mediterranean climate.
  • C. South Coast chosen
    South Coast is a coastal region of New South Wales, Australia, known for its beaches, national parks, and popular holiday towns.
  • D. Surf Coast
    Surf Coast is a scenic coastal region in southwestern Victoria, Australia, renowned for its surf beaches, seaside towns, and as the gateway to the Great Ocean Road.
  • E. Central Coast
    Central Coast is a coastal region of New South Wales, Australia, known for its beaches, lakes, and commuter towns between Sydney and Newcastle.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4b0373881909dd3e9387f82eab4 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e69cba5b708190bef437acf6321b81 completed April 20, 2026, 9:38 p.m.
Created at: April 16, 2026, 11:35 a.m.