Triple
T16206699
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | R61 route |
E393345
|
entity |
| Predicate | passesThrough |
P225
|
FINISHED |
| Object |
Ngcobo
Ngcobo is a small town in South Africa’s Eastern Cape province, known as a rural service and transport hub in the region.
|
E1203676
|
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: Ngcobo | Statement: [R61 route, passesThrough, Ngcobo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ngcobo Context triple: [R61 route, passesThrough, Ngcobo]
-
A.
Makgoba
Makgoba is a South African surname most prominently associated with Thabo Makgoba, the Anglican Archbishop of Cape Town.
-
B.
Thokoza
Thokoza is a township in the East Rand region of Gauteng, South Africa, historically known for its role in anti-apartheid struggles and community activism.
-
C.
Ndwandwe
Ndwandwe was a powerful Nguni-speaking kingdom in southeastern Africa that rivaled the Mthethwa and played a major role in the early 19th-century upheavals that led to the rise of the Zulu state.
-
D.
Nyaneka-Nkhumbi
Nyaneka-Nkhumbi is a Bantu language spoken primarily in southwestern Angola by the Nyaneka and Nkhumbi ethnic groups.
-
E.
Mhlaba
Mhlaba is a surname most notably associated with Raymond Mhlaba, a prominent South African anti-apartheid activist and politician.
- 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: Ngcobo Triple: [R61 route, passesThrough, Ngcobo]
Generated description
Ngcobo is a small town in South Africa’s Eastern Cape province, known as a rural service and transport hub in the region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ngcobo Target entity description: Ngcobo is a small town in South Africa’s Eastern Cape province, known as a rural service and transport hub in the region.
-
A.
Makgoba
Makgoba is a South African surname most prominently associated with Thabo Makgoba, the Anglican Archbishop of Cape Town.
-
B.
Thokoza
Thokoza is a township in the East Rand region of Gauteng, South Africa, historically known for its role in anti-apartheid struggles and community activism.
-
C.
Ndwandwe
Ndwandwe was a powerful Nguni-speaking kingdom in southeastern Africa that rivaled the Mthethwa and played a major role in the early 19th-century upheavals that led to the rise of the Zulu state.
-
D.
Nyaneka-Nkhumbi
Nyaneka-Nkhumbi is a Bantu language spoken primarily in southwestern Angola by the Nyaneka and Nkhumbi ethnic groups.
-
E.
Mhlaba
Mhlaba is a surname most notably associated with Raymond Mhlaba, a prominent South African anti-apartheid activist and politician.
- 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_69d87f1f5bd08190bd01cac0d5b9d2ef |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e227101a3c819095ef40e50bf66433 |
completed | April 17, 2026, 12:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0017a90be08190bd9fb64abd424e1e |
completed | May 10, 2026, 5:29 a.m. |
| NEDg | Description generation | batch_6a00184a16e0819089dffbe23b88bdb3 |
completed | May 10, 2026, 5:31 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00190887088190a5a0eb2cfd674c98 |
completed | May 10, 2026, 5:35 a.m. |
Created at: April 10, 2026, 5:03 a.m.