Triple

T4460650
Position Surface form Disambiguated ID Type / Status
Subject Huskisson E98244 entity
Predicate region P40 FINISHED
Object South Coast E11469 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: 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 chosen
    South Coast is a coastal region of New South Wales, Australia, known for its beaches, national parks, and popular holiday towns.
  • C. 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.
  • D. North Coast
    North Coast is a coastal region in northwestern British Columbia known for its rugged shoreline, maritime climate, and Indigenous communities.
  • E. North Coast
    North Coast is a coastal region of New South Wales, Australia, known for its beaches, subtropical climate, and popular holiday destinations.
  • 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_69b3454a7c608190944f5455c8031d73 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b35673337c8190b923159791ec27e3 completed March 13, 2026, 12:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69b6284431c48190aa1553ff89f2239f completed March 15, 2026, 3:32 a.m.
Created at: March 12, 2026, 11:34 p.m.