Triple

T2435637
Position Surface form Disambiguated ID Type / Status
Subject North West E52953 entity
Predicate capital P234 FINISHED
Object Mahikeng E266626 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: Mahikeng | Statement: [North West, capital, Mahikeng]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mahikeng
Context triple: [North West, capital, Mahikeng]
  • A. Mahikeng chosen
    Mahikeng is the capital city of South Africa’s North West Province, historically known as Mafikeng and noted for its role in the Second Boer War.
  • B. Sodwana Bay
    Sodwana Bay is a renowned coastal destination in South Africa famous for its rich marine biodiversity, coral reefs, and world-class scuba diving and snorkeling opportunities.
  • C. Nkayi
    Nkayi is a rural district and its main town in western Zimbabwe, situated in Matabeleland North Province and known for its predominantly Ndebele-speaking communities and subsistence agriculture.
  • D. Matsapha
    Matsapha is an industrial town in central Eswatini known for its manufacturing hub and proximity to the city of Manzini.
  • E. Knysna
    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.
  • 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_69ab4959bcc0819083246f9fb10439e3 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abc9cd49b48190bff10a5ab7cef483 completed March 7, 2026, 6:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69aef0a9790c81908b50fcae80def595 completed March 9, 2026, 4:09 p.m.
Created at: March 6, 2026, 9:43 p.m.