Triple
T7963337
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | King Don Come |
E184932
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object |
Ntswempu
Ntswempu is a song by the artist King Don Come.
|
E703313
|
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: Ntswempu | Statement: [King Don Come, hasTrack, Ntswempu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ntswempu Context triple: [King Don Come, hasTrack, Ntswempu]
-
A.
Makgoba
Makgoba is a South African surname most prominently associated with Thabo Makgoba, the Anglican Archbishop of Cape Town.
-
B.
Mpulungu
Mpulungu is a Zambian port town that serves as the country’s main access point to Lake Tanganyika and a hub for regional fishing and trade.
-
C.
Maphelane
Maphelane is a coastal nature reserve in South Africa known for its high vegetated dunes, rich birdlife, and diverse estuarine and marine habitats within the iSimangaliso Wetland Park.
-
D.
Bapedi
Bapedi are a Sotho-Tswana ethnic group of South Africa known for their rich cultural traditions, including distinctive music, dance, and chieftaincy structures.
-
E.
Mzilikazi
Mzilikazi was a 19th-century Southern African king who founded the Ndebele (Matabele) nation and led its migration to what is now Zimbabwe.
- 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: Ntswempu Triple: [King Don Come, hasTrack, Ntswempu]
Generated description
Ntswempu is a song by the artist King Don Come.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ntswempu Target entity description: Ntswempu is a song by the artist King Don Come.
-
A.
Makgoba
Makgoba is a South African surname most prominently associated with Thabo Makgoba, the Anglican Archbishop of Cape Town.
-
B.
Mpulungu
Mpulungu is a Zambian port town that serves as the country’s main access point to Lake Tanganyika and a hub for regional fishing and trade.
-
C.
Maphelane
Maphelane is a coastal nature reserve in South Africa known for its high vegetated dunes, rich birdlife, and diverse estuarine and marine habitats within the iSimangaliso Wetland Park.
-
D.
Bapedi
Bapedi are a Sotho-Tswana ethnic group of South Africa known for their rich cultural traditions, including distinctive music, dance, and chieftaincy structures.
-
E.
Mzilikazi
Mzilikazi was a 19th-century Southern African king who founded the Ndebele (Matabele) nation and led its migration to what is now Zimbabwe.
- 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_69ca8293a2388190aace944d7ed9c0c0 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3b9f577481908589d10fdc486abb |
completed | March 31, 2026, 3:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cbe093f00881909317eb4dd4fa1393 |
completed | March 31, 2026, 2:56 p.m. |
| NEDg | Description generation | batch_69cbe43b20148190ba9a4dd00a9f5862 |
completed | March 31, 2026, 3:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cc3307ebd481908c1ec4b0be270a77 |
completed | March 31, 2026, 8:48 p.m. |
Created at: March 30, 2026, 5:12 p.m.