Triple
T6973547
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Metrorail Gauteng commuter rail |
E161655
|
entity |
| Predicate | serves |
P98
|
FINISHED |
| Object | Katlehong |
E634174
|
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: Katlehong | Statement: [Metrorail Gauteng commuter rail, serves, Katlehong]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Katlehong Context triple: [Metrorail Gauteng commuter rail, serves, Katlehong]
-
A.
Thaba Nchu
Thaba Nchu is a town in South Africa’s Free State province, historically a Tswana settlement and now a satellite town of Bloemfontein.
-
B.
Tembisa
chosen
Tembisa is a large township in Gauteng, South Africa, situated on the East Rand and known as a densely populated residential area within the City of Ekurhuleni.
-
C.
Thohoyandou
Thohoyandou is a town in South Africa’s Limpopo province that serves as an administrative, commercial, and educational hub for the surrounding region.
-
D.
Matsapha
Matsapha is an industrial town in central Eswatini known for its manufacturing hub and proximity to the city of Manzini.
-
E.
Nelspruit
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.
- 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_69c68854a0d88190bc0bf82263f1afce |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6db3aad108190b19df2d21f5ce168 |
completed | March 27, 2026, 7:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7754815c8819091d1291f7cdfec1d |
completed | March 28, 2026, 6:29 a.m. |
Created at: March 27, 2026, 2:30 p.m.