Triple
T18808658
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Durban International Airport |
E459944
|
entity |
| Predicate | servedRoute |
P1293
|
FINISHED |
| Object |
Durban–Maputo
Durban–Maputo is an international air route linking the South African coastal city of Durban with Mozambique’s capital, Maputo.
|
E1344484
|
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: Durban–Maputo | Statement: [Durban International Airport, servedRoute, Durban–Maputo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Durban–Maputo Context triple: [Durban International Airport, servedRoute, Durban–Maputo]
-
A.
Nairobi–Johannesburg
Nairobi–Johannesburg is an international air route linking Kenya’s capital Nairobi with South Africa’s largest city Johannesburg, serving as a major corridor between East and Southern Africa.
-
B.
Maputo
Maputo is the largest city and main economic and cultural center of Mozambique, located on the country’s southern coast along the Indian Ocean.
-
C.
Durban
Durban is a major coastal city in South Africa known for its busy port, subtropical climate, and significant Indian community.
-
D.
Gqeberha
Gqeberha is a major coastal city in South Africa’s Eastern Cape, known as an important industrial, commercial, and port hub.
-
E.
Manzini
Manzini is a major city in Eswatini that serves as an important commercial and transport hub of the country.
- 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: Durban–Maputo Triple: [Durban International Airport, servedRoute, Durban–Maputo]
Generated description
Durban–Maputo is an international air route linking the South African coastal city of Durban with Mozambique’s capital, Maputo.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Durban–Maputo Target entity description: Durban–Maputo is an international air route linking the South African coastal city of Durban with Mozambique’s capital, Maputo.
-
A.
Nairobi–Johannesburg
Nairobi–Johannesburg is an international air route linking Kenya’s capital Nairobi with South Africa’s largest city Johannesburg, serving as a major corridor between East and Southern Africa.
-
B.
Maputo
Maputo is the largest city and main economic and cultural center of Mozambique, located on the country’s southern coast along the Indian Ocean.
-
C.
Durban
Durban is a major coastal city in South Africa known for its busy port, subtropical climate, and significant Indian community.
-
D.
Gqeberha
Gqeberha is a major coastal city in South Africa’s Eastern Cape, known as an important industrial, commercial, and port hub.
-
E.
Manzini
Manzini is a major city in Eswatini that serves as an important commercial and transport hub of the country.
- 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_69d8d398c7d4819091cb2f7e48948aeb |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5a3d9c49c8190a9d29a25f0c977b2 |
completed | April 20, 2026, 3:56 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a055bc1fc4881909628d71314b4d76a |
completed | May 14, 2026, 5:21 a.m. |
| NEDg | Description generation | batch_6a055f4a93f4819092054e1a4f49fef1 |
completed | May 14, 2026, 5:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a055feac66c819095d9b852086296b5 |
completed | May 14, 2026, 5:38 a.m. |
Created at: April 10, 2026, 11:53 a.m.