Triple

T19104005
Position Surface form Disambiguated ID Type / Status
Subject Greater Durban area E467605 entity
Predicate hasCoreCity P294 FINISHED
Object Durban 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: Durban | Statement: [Greater Durban area, hasCoreCity, Durban]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Durban
Context triple: [Greater Durban area, hasCoreCity, 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. Durban–Cape Town
    Durban–Cape Town is a major domestic air route in South Africa connecting the coastal cities of Durban and Cape Town.
  • E. Durban–Port Elizabeth
    Durban–Port Elizabeth is a regional air route in South Africa connecting the coastal cities of Durban and Port Elizabeth.
  • 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_69d8dd05ac4c8190b1967d8f97f3fb2f completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e36f84048190a62c52411eb55411 completed April 20, 2026, 8:27 a.m.
Created at: April 10, 2026, 12:04 p.m.