Triple

T17981931
Position Surface form Disambiguated ID Type / Status
Subject Stanger, Natal, South Africa E449621 entity
Predicate formerNameOf P65 FINISHED
Object KwaDukuza 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: KwaDukuza | Statement: [Stanger, Natal, South Africa, formerNameOf, KwaDukuza]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KwaDukuza
Context triple: [Stanger, Natal, South Africa, formerNameOf, KwaDukuza]
  • A. KwaDukuza chosen
    KwaDukuza is a town in South Africa’s KwaZulu-Natal province, historically known as Stanger, that serves as an important regional commercial and administrative center.
  • B. KWA
    KWA is the IATA airport code for Bucholz Army Airfield, a joint military and civilian airfield on Kwajalein Atoll in the Marshall Islands.
  • C. Kwatta
    Kwatta is a settlement located in the Wanica District of Suriname, known primarily as a suburban and agricultural area near the capital, Paramaribo.
  • D. Kwadi
    Kwadi is an extinct and poorly documented language of southwestern Angola, thought to be related to the Khoe languages within the proposed Khoe-Kwadi family.
  • E. Kwando
    Kwando is a river in southern Africa that flows through Angola, Namibia, and Botswana, forming part of the region’s complex wetland and river system.
  • 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_69d8b9f9927c8190a006110c8b996e61 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e4b297b7108190a676409b330ca23b completed April 19, 2026, 10:46 a.m.
Created at: April 10, 2026, 10:22 a.m.