Triple

T2229989
Position Surface form Disambiguated ID Type / Status
Subject South African Airways E48741 entity
Predicate hasFocusCity P1295 FINISHED
Object Durban E18886 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: Durban | Statement: [South African Airways, hasFocusCity, Durban]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Durban
Context triple: [South African Airways, hasFocusCity, Durban]
  • A. Durban chosen
    Durban is a major coastal city in South Africa known for its busy port, subtropical climate, and significant Indian community.
  • B. Cape Town
    Cape Town is a major coastal city in South Africa known for its iconic Table Mountain, diverse culture, and role as the country’s legislative capital.
  • C. Pietermaritzburg
    Pietermaritzburg is a major city in South Africa’s KwaZulu-Natal province, historically significant as a colonial administrative center and now known for its Victorian architecture and role as a regional economic and educational hub.
  • D. Port Elizabeth
    Port Elizabeth is a large coastal city in South Africa known for its major seaport, automotive industry, and popular beaches along Algoa Bay.
  • E. Plettenberg Bay
    Plettenberg Bay is a popular coastal resort town on South Africa’s Garden Route, known for its beaches, marine life, and scenic surroundings.
  • 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_69a88aa51b388190949868ec9766e587 completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc069e0ac8190bcda8cba9f5c7a5d completed March 7, 2026, 6:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69b3bb56c2e081909168c0fef26bff44 completed March 13, 2026, 7:23 a.m.
Created at: March 4, 2026, 7:47 p.m.