Triple
T7492861
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nyamwezi language |
E177048
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object |
Inyamwezi
Inyamwezi is an alternative name for the Nyamwezi language, a Bantu language spoken primarily in central Tanzania.
|
E671764
|
NE FINISHED |
How this triple was built (4 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: Inyamwezi | Statement: [Nyamwezi language, hasAlternativeName, Inyamwezi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Inyamwezi Context triple: [Nyamwezi language, hasAlternativeName, Inyamwezi]
-
A.
Oshikwanyama
Oshikwanyama is a Bantu language variety spoken primarily in northern Namibia and southern Angola, recognized as one of the major dialects of Oshiwambo.
-
B.
Soshangane
Soshangane was a 19th-century Nguni military leader who founded the Gaza Empire in southeastern Africa during the upheavals of the Mfecane.
-
C.
Luyengo
Luyengo is a locality in Eswatini known for hosting the Luyengo Campus of the University of Eswatini and its agricultural education facilities.
-
D.
Makaziwe
Makaziwe is a South African academic and businesswoman best known as the daughter of Nelson Mandela.
-
E.
Mwinilunga
Mwinilunga is a town in northwestern Zambia known as an administrative and commercial center near the borders with Angola and the Democratic Republic of the Congo.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Inyamwezi Triple: [Nyamwezi language, hasAlternativeName, Inyamwezi]
Generated description
Inyamwezi is an alternative name for the Nyamwezi language, a Bantu language spoken primarily in central Tanzania.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Inyamwezi Target entity description: Inyamwezi is an alternative name for the Nyamwezi language, a Bantu language spoken primarily in central Tanzania.
-
A.
Oshikwanyama
Oshikwanyama is a Bantu language variety spoken primarily in northern Namibia and southern Angola, recognized as one of the major dialects of Oshiwambo.
-
B.
Soshangane
Soshangane was a 19th-century Nguni military leader who founded the Gaza Empire in southeastern Africa during the upheavals of the Mfecane.
-
C.
Luyengo
Luyengo is a locality in Eswatini known for hosting the Luyengo Campus of the University of Eswatini and its agricultural education facilities.
-
D.
Makaziwe
Makaziwe is a South African academic and businesswoman best known as the daughter of Nelson Mandela.
-
E.
Mwinilunga
Mwinilunga is a town in northwestern Zambia known as an administrative and commercial center near the borders with Angola and the Democratic Republic of the Congo.
- F. None of above. chosen
Provenance (5 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_69c69f2583808190bd1a4936c42a5815 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f5784c908190b701959daf082625 |
completed | March 27, 2026, 9:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c84eefbcec8190bef282452aaf5515 |
completed | March 28, 2026, 9:58 p.m. |
| NEDg | Description generation | batch_69c850b5b77c8190abab52a634a918f7 |
completed | March 28, 2026, 10:05 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8510c66d8819095f442f6acf52e32 |
completed | March 28, 2026, 10:07 p.m. |
Created at: March 27, 2026, 3:43 p.m.