Triple

T17671867
Position Surface form Disambiguated ID Type / Status
Subject George Airport E440538 entity
Predicate cityServed P82 FINISHED
Object Knysna 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: Knysna | Statement: [George Airport, cityServed, Knysna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Knysna
Context triple: [George Airport, cityServed, Knysna]
  • A. Knysna chosen
    Knysna is a picturesque coastal town in South Africa known for its lagoon, indigenous forests, and role as a major tourist destination along the Garden Route.
  • B. Gordon's Bay
    Gordon's Bay is a small coastal town and popular seaside resort in the Western Cape of South Africa, known for its beaches, marina, and views across False Bay.
  • C. Oudenhoorn
    Oudenhoorn is a small village in the Dutch province of South Holland, known for its rural character and historic polder landscape.
  • D. Kalk Bay
    Kalk Bay is a historic fishing village and seaside suburb of Cape Town in South Africa, known for its working harbour, tidal pools, and vibrant arts and café culture along the False Bay coastline.
  • E. 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.
  • 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.