Triple
T15480471
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grahamstown |
E376901
|
entity |
| Predicate | formerNameOf |
P65
|
FINISHED |
| Object |
Makhanda
Makhanda is a historic city in South Africa’s Eastern Cape, known as a major educational and cultural center and home to Rhodes University and the National Arts Festival.
|
E1159477
|
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: Makhanda | Statement: [Grahamstown, formerNameOf, Makhanda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Makhanda Context triple: [Grahamstown, formerNameOf, Makhanda]
-
A.
Sandile kaNgqika
Sandile kaNgqika was a prominent 19th-century Xhosa chief and military leader who played a central role in resisting British colonial expansion in the Eastern Cape.
-
B.
Thabo
Thabo is a common Southern African given name, often used in countries such as South Africa and Lesotho.
-
C.
Thembekile
Thembekile is a given name notably borne by Thembekile Mandela, one of Nelson Mandela’s sons.
-
D.
Mangosuthu
Mangosuthu is the given name of Mangosuthu Buthelezi, a prominent South African Zulu prince and political leader.
-
E.
Thabana Ntlenyana
Thabana Ntlenyana is the highest mountain in southern Africa, located in the Drakensberg range within Lesotho.
- 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: Makhanda Triple: [Grahamstown, formerNameOf, Makhanda]
Generated description
Makhanda is a historic city in South Africa’s Eastern Cape, known as a major educational and cultural center and home to Rhodes University and the National Arts Festival.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Makhanda Target entity description: Makhanda is a historic city in South Africa’s Eastern Cape, known as a major educational and cultural center and home to Rhodes University and the National Arts Festival.
-
A.
Sandile kaNgqika
Sandile kaNgqika was a prominent 19th-century Xhosa chief and military leader who played a central role in resisting British colonial expansion in the Eastern Cape.
-
B.
Thabo
Thabo is a common Southern African given name, often used in countries such as South Africa and Lesotho.
-
C.
Thembekile
Thembekile is a given name notably borne by Thembekile Mandela, one of Nelson Mandela’s sons.
-
D.
Mangosuthu
Mangosuthu is the given name of Mangosuthu Buthelezi, a prominent South African Zulu prince and political leader.
-
E.
Thabana Ntlenyana
Thabana Ntlenyana is the highest mountain in southern Africa, located in the Drakensberg range within Lesotho.
- 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_69d85cd21dcc81908646251b1c26ea00 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03f8cb4388190a3b4c92c3bb4ad4f |
completed | April 16, 2026, 1:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff2d0d6ef0819091623de2888a7101 |
completed | May 9, 2026, 12:48 p.m. |
| NEDg | Description generation | batch_69ff302422488190aa70a6d6e07feea6 |
completed | May 9, 2026, 1:01 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff313c2a208190b25a3cebf2d742f5 |
completed | May 9, 2026, 1:06 p.m. |
Created at: April 10, 2026, 3:34 a.m.