Triple
T1221994
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Port Elizabeth |
E26242
|
entity |
| Predicate | formerNameOf |
P65
|
FINISHED |
| Object | Gqeberha |
E26242
|
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: [Port Elizabeth, formerNameOf, Gqeberha]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gqeberha Context triple: [Port Elizabeth, formerNameOf, Gqeberha]
-
A.
Egoli
Egoli is a common nickname for Johannesburg, South Africa’s major economic hub often referred to as the "City of Gold."
-
B.
Ulundi
Ulundi is a historic town in KwaZulu-Natal, South Africa, best known as the former royal and political center of the Zulu Kingdom and the site of key events in the Anglo-Zulu War.
-
C.
Mthatha
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.
-
D.
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.
-
E.
Port Elizabeth
chosen
Port Elizabeth is a large coastal city in South Africa known for its major seaport, automotive industry, and popular beaches along Algoa Bay.
- 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_69a49484688c8190a1bf285eb396a8b6 |
completed | March 1, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69a4be206c108190bb8a5d44fc516c98 |
completed | March 1, 2026, 10:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad0e5dd8148190a209257ee29969dd |
completed | March 8, 2026, 5:51 a.m. |
Created at: March 1, 2026, 7:47 p.m.