Triple
T10714172
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sabata Dalindyebo |
E252617
|
entity |
| Predicate | people |
P17131
|
FINISHED |
| Object | Thembu nation |
E877308
|
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: Thembu nation | Statement: [Sabata Dalindyebo, people, Thembu nation]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thembu nation Context triple: [Sabata Dalindyebo, people, Thembu nation]
-
A.
Thembu kingdom
chosen
The Thembu kingdom is a traditional Xhosa-speaking monarchy in South Africa, historically based in the Eastern Cape and known as the ancestral realm of prominent leaders including Nelson Mandela.
-
B.
Emakhuwa
Emakhuwa is a Bantu language widely spoken in northern Mozambique, primarily by the Makua people.
-
C.
Nosuthu
Nosuthu was the mother of Tiyo Soga, the pioneering Xhosa Christian minister and intellectual.
-
D.
Nquthu
Nquthu is a small town in KwaZulu-Natal, South Africa, known for its rural character and historical significance in the region.
-
E.
Ntswempu
Ntswempu is a song by the artist King Don Come.
- 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_69d6aa5cbabc8190973e683950d89faf |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6ff324d1881908b7cdf4ac208125f |
completed | April 9, 2026, 1:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d9991f650881908d8db6e44b2c4543 |
completed | April 11, 2026, 12:43 a.m. |
Created at: April 8, 2026, 9:13 p.m.