Triple
T6701132
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eastern Bantu |
E152879
|
entity |
| Predicate | hasMemberLanguage |
P7390
|
FINISHED |
| Object | Pemba Swahili |
E2738
|
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: Pemba Swahili | Statement: [Eastern Bantu, hasMemberLanguage, Pemba Swahili]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pemba Swahili Context triple: [Eastern Bantu, hasMemberLanguage, Pemba Swahili]
-
A.
Nyanja
Nyanja is a major Bantu language spoken primarily in Malawi, Zambia, Mozambique, and Zimbabwe, known for serving as a lingua franca in parts of southern Africa.
-
B.
Pemba
Pemba is a historically significant coastal city on the Swahili Coast, known as a regional hub of trade and Swahili culture along the Indian Ocean.
-
C.
Kiswah
Kiswah is the ornate black cloth embroidered with Quranic verses that traditionally drapes and adorns the Kaaba in Mecca.
-
D.
Swahili language
chosen
Swahili is a major Bantu language widely spoken in East and Central Africa, serving as a regional lingua franca and an official language in several countries including Tanzania and Kenya.
-
E.
Kasangulu
Kasangulu is a town and transport hub in western Democratic Republic of the Congo, located near Kinshasa and known for its position along key road and rail routes.
- 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_69c68807adbc8190b8632df42b39eda0 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d0e4a1848190997520ddd7808cc6 |
completed | March 27, 2026, 6:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c70081395c8190921636db5cfa096a |
completed | March 27, 2026, 10:11 p.m. |
Created at: March 27, 2026, 2:05 p.m.