Triple
T11457347
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prince Cedza Dlamini |
E271563
|
entity |
| Predicate | languagesSpoken |
P741
|
FINISHED |
| Object | Swazi |
E922637
|
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: Swazi | Statement: [Prince Cedza Dlamini, languagesSpoken, Swazi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Swazi Context triple: [Prince Cedza Dlamini, languagesSpoken, Swazi]
-
A.
Swazi
chosen
The Swazi are a Bantu-speaking ethnic group primarily associated with Eswatini (formerly Swaziland) and neighboring regions of South Africa, known for their distinct monarchy-centered culture and traditions.
-
B.
Swazi Kingdom
The Swazi Kingdom was a precolonial southern African monarchy of the Nguni people that formed the historical basis of modern Eswatini.
-
C.
Eswatini
Eswatini is a small landlocked monarchy in Southern Africa known for its blend of traditional Swazi culture and modern institutions.
-
D.
Lesotho
Lesotho is a small, landlocked constitutional monarchy in Southern Africa, entirely surrounded by South Africa and known for its mountainous terrain and high-altitude settlements.
-
E.
Kwaluseni
Kwaluseni is a town in Eswatini known primarily as the main campus site of the University of Eswatini.
- 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_69d6aadff8888190a13f253f0d460874 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d81c71b1208190be1d5623d18e0222 |
completed | April 9, 2026, 9:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e6e7800ca881909c1816a74b3b8f19 |
completed | April 21, 2026, 2:57 a.m. |
Created at: April 8, 2026, 9:35 p.m.