Triple

T4844301
Position Surface form Disambiguated ID Type / Status
Subject South African coast E108251 entity
Predicate hasRegion P285 FINISHED
Object South Coast E218864 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: [South African coast, hasRegion, South Coast]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: South Coast
Context triple: [South African coast, hasRegion, South Coast]
  • A. South Coast chosen
    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 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_69bd4409b264819085ab855f3eb5381a completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6d0078388190a74a9ee38e1ade4b completed March 20, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69be5cd29c9c8190ab4ca5463ef99c15 completed March 21, 2026, 8:54 a.m.
Created at: March 20, 2026, 1:25 p.m.