Triple
T7718569
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emalahleni |
E174949
|
entity |
| Predicate | formerName |
P65
|
FINISHED |
| Object |
Witbank
Witbank is a South African coal-mining city in Mpumalanga province, now officially known as Emalahleni.
|
E690178
|
NE FINISHED |
How this triple was built (4 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: Witbank | Statement: [Emalahleni, formerName, Witbank]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Witbank Context triple: [Emalahleni, formerName, Witbank]
-
A.
Rustenburg
Rustenburg is a city in South Africa’s North West Province known for its mining industry and as one of the venues for the 2010 FIFA World Cup.
-
B.
Randburg
Randburg is a residential and commercial suburb in the north of Johannesburg, South Africa, known for its shopping centers, business districts, and leafy neighborhoods.
-
C.
Bloemfontein
Bloemfontein is a major South African city known as the seat of the country’s highest courts and one of its three national capitals.
-
D.
Grahamstown
Grahamstown is a historic university town in South Africa, renowned for its colonial-era architecture and the annual National Arts Festival.
-
E.
Potchefstroom
Potchefstroom is a historic university town in South Africa known for its academic institutions, military base, and role in the North West province’s agriculture and industry.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Witbank Triple: [Emalahleni, formerName, Witbank]
Generated description
Witbank is a South African coal-mining city in Mpumalanga province, now officially known as Emalahleni.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Witbank Target entity description: Witbank is a South African coal-mining city in Mpumalanga province, now officially known as Emalahleni.
-
A.
Rustenburg
Rustenburg is a city in South Africa’s North West Province known for its mining industry and as one of the venues for the 2010 FIFA World Cup.
-
B.
Randburg
Randburg is a residential and commercial suburb in the north of Johannesburg, South Africa, known for its shopping centers, business districts, and leafy neighborhoods.
-
C.
Bloemfontein
Bloemfontein is a major South African city known as the seat of the country’s highest courts and one of its three national capitals.
-
D.
Grahamstown
Grahamstown is a historic university town in South Africa, renowned for its colonial-era architecture and the annual National Arts Festival.
-
E.
Potchefstroom
Potchefstroom is a historic university town in South Africa known for its academic institutions, military base, and role in the North West province’s agriculture and industry.
- F. None of above. chosen
Provenance (5 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_69c6995c463c8190a14458036249d419 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c702ebb7448190ae8d47fe0cbb0907 |
completed | March 27, 2026, 10:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c91f4fb010819080ced464e4a71658 |
completed | March 29, 2026, 12:47 p.m. |
| NEDg | Description generation | batch_69c91fb8cd088190bfc421a3ed8af920 |
completed | March 29, 2026, 12:48 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c9205ce11c81909f8a760a17de6dd9 |
completed | March 29, 2026, 12:51 p.m. |
Created at: March 27, 2026, 4:05 p.m.