Triple
T5772193
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kruger Mpumalanga International Airport |
E127354
|
entity |
| Predicate | serves |
P98
|
FINISHED |
| Object | Nelspruit |
E127354
|
NE FINISHED |
How this triple was built (2 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: Nelspruit | Statement: [Kruger Mpumalanga International Airport, serves, Nelspruit]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nelspruit Context triple: [Kruger Mpumalanga International Airport, serves, Nelspruit]
-
A.
Nelspruit
chosen
Nelspruit is a city in northeastern South Africa, now known as Mbombela, noted as a regional hub near Kruger National Park and for hosting matches during the 2010 FIFA World Cup.
-
B.
Bronkhorstspruit
Bronkhorstspruit is a small farming town in Gauteng, South Africa, known historically as the site of an early battle in the First Boer War.
-
C.
Hoedspruit
Hoedspruit is a small South African town near Kruger National Park, known as a gateway to wildlife reserves and scenic Lowveld attractions.
-
D.
Matsapha
Matsapha is an industrial town in central Eswatini known for its manufacturing hub and proximity to the city of Manzini.
-
E.
Umgeni River
The Umgeni River is a major river in South Africa that flows through KwaZulu-Natal to the Indian Ocean, passing through the city of Durban and supporting important ecological and urban systems.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c00834f6308190851b0abeddd8ed7e |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c029adda188190a5c26c363614145f |
completed | March 22, 2026, 5:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c1134155608190bc9271dba417a512 |
completed | March 23, 2026, 10:17 a.m. |
Created at: March 22, 2026, 3:50 p.m.