Triple
T1283876
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mpumalanga |
E27387
|
entity |
| Predicate | hasMajorTown |
P316
|
FINISHED |
| Object |
Ermelo
Ermelo is a key agricultural and transport hub town located in South Africa’s Mpumalanga province.
|
E176019
|
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: Ermelo | Statement: [Mpumalanga, hasMajorTown, Ermelo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ermelo Context triple: [Mpumalanga, hasMajorTown, Ermelo]
-
A.
Krugersdorp
Krugersdorp is a historic mining town in South Africa known for its gold deposits and location on the West Rand of the Gauteng province.
-
B.
Graskop
Graskop is a small tourist town in northeastern South Africa known as a gateway to the Panorama Route and nearby natural attractions like waterfalls and the Blyde River Canyon.
-
C.
Paarl
Paarl is a historic town in South Africa renowned for its wine estates, scenic granite rock formations, and role in the development of the Afrikaans language.
-
D.
Greytown
Greytown is a small town in KwaZulu-Natal, South Africa, historically notable as the birthplace of Boer general and first South African Prime Minister Louis Botha.
-
E.
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.
- 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: Ermelo Triple: [Mpumalanga, hasMajorTown, Ermelo]
Generated description
Ermelo is a key agricultural and transport hub town located in South Africa’s Mpumalanga province.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ermelo Target entity description: Ermelo is a key agricultural and transport hub town located in South Africa’s Mpumalanga province.
-
A.
Krugersdorp
Krugersdorp is a historic mining town in South Africa known for its gold deposits and location on the West Rand of the Gauteng province.
-
B.
Graskop
Graskop is a small tourist town in northeastern South Africa known as a gateway to the Panorama Route and nearby natural attractions like waterfalls and the Blyde River Canyon.
-
C.
Paarl
Paarl is a historic town in South Africa renowned for its wine estates, scenic granite rock formations, and role in the development of the Afrikaans language.
-
D.
Greytown
Greytown is a small town in KwaZulu-Natal, South Africa, historically notable as the birthplace of Boer general and first South African Prime Minister Louis Botha.
-
E.
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.
- 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_69a496d3710c8190955dee8bc0dacb50 |
completed | March 1, 2026, 7:43 p.m. |
| NER | Named-entity recognition | batch_69a4c0b599ac819096fca9ada294d939 |
completed | March 1, 2026, 10:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad308179bc81909716b3acb9d59ea1 |
completed | March 8, 2026, 8:17 a.m. |
| NEDg | Description generation | batch_69ad31dcdef0819093276857b247ecea |
completed | March 8, 2026, 8:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad32f287008190b66c9e626a0f39f1 |
completed | March 8, 2026, 8:27 a.m. |
Created at: March 1, 2026, 7:50 p.m.