Triple

T23561963
Position Surface form Disambiguated ID Type / Status
Subject Faculty of Law, Nelson Mandela University E579265 entity
Predicate locatedIn P40 FINISHED
Object Gqeberha 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: Gqeberha | Statement: [Faculty of Law, Nelson Mandela University, locatedIn, Gqeberha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gqeberha
Context triple: [Faculty of Law, Nelson Mandela University, locatedIn, Gqeberha]
  • A. Gqeberha chosen
    Gqeberha is a major coastal city in South Africa’s Eastern Cape, known as an important industrial, commercial, and port hub.
  • B. Buhe
    Buhe was a Chinese politician of Mongol ethnicity who served in various regional leadership roles, including as chairman of the Inner Mongolia Autonomous Region.
  • C. Egoli
    Egoli is a common nickname for Johannesburg, South Africa’s major economic hub often referred to as the "City of Gold."
  • D. Uitenhage
    Uitenhage is a South African town in the Eastern Cape known historically for its automotive industry and as part of the greater Port Elizabeth (Gqeberha) urban area.
  • E. Phokeng
    Phokeng is a large Tswana-speaking village in South Africa known as the capital of the Royal Bafokeng Nation and for its proximity to the platinum-rich mining areas near Rustenburg.
  • 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_69e245fe24588190888f3aec8407d8e3 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f1af68cddc8190ab9d0b7ee1f157ed completed April 29, 2026, 7:12 a.m.
Created at: April 17, 2026, 6:20 p.m.