Triple
T10129632
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Basukuma |
E226301
|
entity |
| Predicate | neighboringEthnicGroup |
P11274
|
FINISHED |
| Object | Nyamwezi |
E614312
|
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: Nyamwezi | Statement: [Basukuma, neighboringEthnicGroup, Nyamwezi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nyamwezi Context triple: [Basukuma, neighboringEthnicGroup, Nyamwezi]
-
A.
Nyamwezi
chosen
Nyamwezi is a Bantu language spoken primarily in northwestern Tanzania by the Nyamwezi people.
-
B.
Kigoma
Kigoma is a port city in western Tanzania located on the eastern shore of Lake Tanganyika and serving as a key regional transport and trade hub.
-
C.
Maseno
Maseno is a town in western Kenya, near Kisumu, known as the birthplace of prominent politician Raila Odinga and as a local educational center.
-
D.
Nyazura
Nyazura is a small town in eastern Zimbabwe situated along the main road and railway linking Harare and Mutare.
-
E.
Kalangala
Kalangala is a town on Uganda’s Ssese Islands in Lake Victoria, serving as the administrative and commercial center of Kalangala District.
- 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_69ca843057b48190a86730167f5d6b98 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cdd333186c819088bbf617967f24fa |
completed | April 2, 2026, 2:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2cc7c50b08190a04aa2f58a6c300a |
completed | April 5, 2026, 8:56 p.m. |
Created at: March 30, 2026, 9:05 p.m.