Triple

T17671869
Position Surface form Disambiguated ID Type / Status
Subject George Airport E440538 entity
Predicate cityServed P82 FINISHED
Object Plettenberg Bay 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: Plettenberg Bay | Statement: [George Airport, cityServed, Plettenberg Bay]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Plettenberg Bay
Context triple: [George Airport, cityServed, Plettenberg Bay]
  • A. Plettenberg Bay chosen
    Plettenberg Bay is a popular coastal resort town on South Africa’s Garden Route, known for its beaches, marine life, and scenic surroundings.
  • B. Mossel Bay
    Mossel Bay is a coastal town and popular tourist destination on South Africa’s Garden Route, known for its beaches, mild climate, and maritime history.
  • C. Struisbaai
    Struisbaai is a coastal fishing and holiday town in South Africa’s Western Cape, known for its long sandy beach and proximity to the southernmost tip of Africa.
  • D. Riebeek West
    Riebeek West is a small historic town in South Africa’s Western Cape, known as the birthplace of former prime minister Jan Smuts and for its surrounding wine and olive farms.
  • E. Hermanus
    Hermanus is a coastal town in South Africa renowned for its land-based whale watching and scenic seaside landscapes.
  • 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_69d8b9e87e18819087104a44dc4dc5b1 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e46f69b11c8190b09add33f81776b3 completed April 19, 2026, 6 a.m.
Created at: April 10, 2026, 9:59 a.m.