Triple
T9122088
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Newcastle Local Municipality |
E218877
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Osizweni
Osizweni is a township in the Newcastle area of KwaZulu-Natal, South Africa, known as a large residential community within the region.
|
E779585
|
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: Osizweni | Statement: [Newcastle Local Municipality, hasSettlement, Osizweni]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Osizweni Context triple: [Newcastle Local Municipality, hasSettlement, Osizweni]
-
A.
Zindziswa
Zindziswa is the given first name of Zindzi Mandela, the South African diplomat, poet, and daughter of Nelson Mandela and Winnie Madikizela-Mandela.
-
B.
Mzilikazi
Mzilikazi was a 19th-century Southern African king who founded the Ndebele (Matabele) nation and led its migration to what is now Zimbabwe.
-
C.
Nquthu
Nquthu is a small town in KwaZulu-Natal, South Africa, known for its rural character and historical significance in the region.
-
D.
Usuthu
Usuthu is the popular nickname of AmaZulu F.C., a professional football club based in Durban, South Africa.
-
E.
Umhlanga
Umhlanga is an affluent coastal resort town on South Africa’s KwaZulu-Natal north coast, known for its beaches, luxury hotels, and major commercial and residential developments.
- 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: Osizweni Triple: [Newcastle Local Municipality, hasSettlement, Osizweni]
Generated description
Osizweni is a township in the Newcastle area of KwaZulu-Natal, South Africa, known as a large residential community within the region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Osizweni Target entity description: Osizweni is a township in the Newcastle area of KwaZulu-Natal, South Africa, known as a large residential community within the region.
-
A.
Zindziswa
Zindziswa is the given first name of Zindzi Mandela, the South African diplomat, poet, and daughter of Nelson Mandela and Winnie Madikizela-Mandela.
-
B.
Mzilikazi
Mzilikazi was a 19th-century Southern African king who founded the Ndebele (Matabele) nation and led its migration to what is now Zimbabwe.
-
C.
Nquthu
Nquthu is a small town in KwaZulu-Natal, South Africa, known for its rural character and historical significance in the region.
-
D.
Usuthu
Usuthu is the popular nickname of AmaZulu F.C., a professional football club based in Durban, South Africa.
-
E.
Umhlanga
Umhlanga is an affluent coastal resort town on South Africa’s KwaZulu-Natal north coast, known for its beaches, luxury hotels, and major commercial and residential developments.
- 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_69ca83dddd548190983b96c664f7f367 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca8b46dac8190bde88205c85f596a |
completed | April 1, 2026, 5:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0308ff628819083f02bf71eb40c5b |
completed | April 3, 2026, 9:26 p.m. |
| NEDg | Description generation | batch_69d0318ef52c8190bfa0bef6a8d41daa |
completed | April 3, 2026, 9:30 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d03571c4648190bd546152c61c55a5 |
completed | April 3, 2026, 9:47 p.m. |
Created at: March 30, 2026, 7:17 p.m.