Triple

T6555376
Position Surface form Disambiguated ID Type / Status
Subject Nelson Mandela Bay Metropolitan Municipality E152433 entity
Predicate seat P75 FINISHED
Object Gqeberha E583281 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: Gqeberha | Statement: [Nelson Mandela Bay Metropolitan Municipality, seat, Gqeberha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gqeberha
Context triple: [Nelson Mandela Bay Metropolitan Municipality, seat, 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. Egoli
    Egoli is a common nickname for Johannesburg, South Africa’s major economic hub often referred to as the "City of Gold."
  • C. 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.
  • D. 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.
  • E. Grahamstown
    Grahamstown is a historic university town in South Africa, renowned for its colonial-era architecture and the annual National Arts Festival.
  • 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_69c688058d6881908c19b309cc55dbfa completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ae1c07cc819089c297edad943a57 completed March 27, 2026, 4:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7127fc0a081909589c2a05e457866 completed March 27, 2026, 11:27 p.m.
Created at: March 27, 2026, 1:51 p.m.