Triple

T22116002
Position Surface form Disambiguated ID Type / Status
Subject High Courts of South Africa E546542 entity
Predicate hasSeatIn P3522 FINISHED
Object Mthatha 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: Mthatha | Statement: [High Courts of South Africa, hasSeatIn, Mthatha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mthatha
Context triple: [High Courts of South Africa, hasSeatIn, Mthatha]
  • A. Mthatha chosen
    Mthatha is a town in South Africa known as a regional economic and administrative center in the Eastern Cape and as the birthplace of Nelson Mandela.
  • B. Mbombela
    Mbombela is a city in northeastern South Africa that serves as a regional economic and administrative hub near the border with Mozambique.
  • C. Polokwane
    Polokwane is a city in South Africa’s Limpopo province that served as one of the venues for matches during the 2010 FIFA World Cup.
  • D. Mogale City
    Mogale City is a local municipality in Gauteng, South Africa, that includes the town of Krugersdorp and surrounding areas on the West Rand.
  • E. Emalahleni
    Emalahleni is a major coal-mining and industrial city in South Africa’s Mpumalanga province, historically known as Witbank.
  • 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_69e11e38b3848190ac3a4fa97d56e65a completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f1294dc1148190b95ff00f475a6713 completed April 28, 2026, 9:40 p.m.
Created at: April 16, 2026, 8:31 p.m.