Triple
T19104022
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Greater Durban area |
E467605
|
entity |
| Predicate | includesArea |
P1393
|
FINISHED |
| Object |
Amanzimtoti
Amanzimtoti is a coastal resort town in KwaZulu-Natal, South Africa, known for its warm beaches and popularity as a holiday destination.
|
E1360127
|
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: Amanzimtoti | Statement: [Greater Durban area, includesArea, Amanzimtoti]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Amanzimtoti Context triple: [Greater Durban area, includesArea, Amanzimtoti]
-
A.
Manzini
Manzini is a major city in Eswatini that serves as an important commercial and transport hub of the country.
-
B.
Masindi
Masindi is a town in western Uganda that serves as a key gateway and service center for visitors to Murchison Falls National Park.
-
C.
Mogoditshane
Mogoditshane is a rapidly growing suburban township located just outside Botswana’s capital, Gaborone.
-
D.
Cofimvaba
Cofimvaba is a small rural town in South Africa’s Eastern Cape province, known as a local service and administrative center for the surrounding villages.
-
E.
Mabopane
Mabopane is a large residential township in the northern part of the City of Tshwane Metropolitan Municipality in South Africa, known for its vibrant local economy and commuter links to Pretoria.
- 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: Amanzimtoti Triple: [Greater Durban area, includesArea, Amanzimtoti]
Generated description
Amanzimtoti is a coastal resort town in KwaZulu-Natal, South Africa, known for its warm beaches and popularity as a holiday destination.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Amanzimtoti Target entity description: Amanzimtoti is a coastal resort town in KwaZulu-Natal, South Africa, known for its warm beaches and popularity as a holiday destination.
-
A.
Manzini
Manzini is a major city in Eswatini that serves as an important commercial and transport hub of the country.
-
B.
Masindi
Masindi is a town in western Uganda that serves as a key gateway and service center for visitors to Murchison Falls National Park.
-
C.
Mogoditshane
Mogoditshane is a rapidly growing suburban township located just outside Botswana’s capital, Gaborone.
-
D.
Cofimvaba
Cofimvaba is a small rural town in South Africa’s Eastern Cape province, known as a local service and administrative center for the surrounding villages.
-
E.
Mabopane
Mabopane is a large residential township in the northern part of the City of Tshwane Metropolitan Municipality in South Africa, known for its vibrant local economy and commuter links to Pretoria.
- 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_69d8dd05ac4c8190b1967d8f97f3fb2f |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e36f84048190a62c52411eb55411 |
completed | April 20, 2026, 8:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a05e66ba2f881909531985c2ff77771 |
completed | May 14, 2026, 3:12 p.m. |
| NEDg | Description generation | batch_6a05ea3d4aac819094716ec2bb45d231 |
completed | May 14, 2026, 3:29 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a05eae3092481909dc2c55eb0e7fa57 |
completed | May 14, 2026, 3:31 p.m. |
Created at: April 10, 2026, 12:04 p.m.