Triple

T2046542
Position Surface form Disambiguated ID Type / Status
Subject Natalia Republic E45464 entity
Predicate hasMajorSettlement P316 FINISHED
Object Durban (Port Natal) 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 (Port Natal) | Statement: [Natalia Republic, hasMajorSettlement, Durban (Port Natal)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Durban (Port Natal)
Context triple: [Natalia Republic, hasMajorSettlement, Durban (Port Natal)]
  • A. Durban chosen
    Durban is a major coastal city in South Africa known for its busy port, subtropical climate, and significant Indian community.
  • B. 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.
  • C. 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.
  • D. 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.
  • E. Port of Durban
    The Port of Durban is Africa’s busiest and largest container port, serving as a major gateway for maritime trade on the east coast of South Africa.
  • 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_69a8891948208190ab7898da21824c77 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abb973a51881908c2c1e633daa3cb4 completed March 7, 2026, 5:36 a.m.
NED1 Entity disambiguation (via context triple) batch_69b3544c5fcc8190b2d8d61449dfffb3 completed March 13, 2026, 12:03 a.m.
Created at: March 4, 2026, 7:39 p.m.