Triple
T5909114
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Swati language |
E131416
|
entity |
| Predicate | alternativeName |
P39
|
FINISHED |
| Object | siSwati |
E267830
|
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: siSwati | Statement: [Swati language, alternativeName, siSwati]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: siSwati Context triple: [Swati language, alternativeName, siSwati]
-
A.
siSwati
chosen
siSwati is a Bantu language of the Nguni group spoken primarily by the Swazi people in Eswatini and parts of South Africa.
-
B.
Swazi language
Swazi language is a Bantu language of the Nguni group spoken primarily in Eswatini and parts of South Africa.
-
C.
Tshivenda
Tshivenda is a Bantu language spoken primarily by the Venda people in northern South Africa and neighboring regions.
-
D.
Zulu
Zulu is a Bantu language of the Nguni group spoken primarily in South Africa and widely influential in the country’s culture and other local languages.
-
E.
Zulu
Zulu is a 1964 British war film depicting the Battle of Rorke's Drift during the Anglo-Zulu War, noted for being one of Michael Caine's early breakthrough roles.
- 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_69c008593a44819081a07ae0efe6c574 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c03775590481909a797b166fbe108c |
completed | March 22, 2026, 6:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0b16f568081908839cd2403b7534c |
completed | March 23, 2026, 3:20 a.m. |
Created at: March 22, 2026, 3:59 p.m.