Triple
T7866991
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nyamwezi people |
E182640
|
entity |
| Predicate | notableLeader |
P304
|
FINISHED |
| Object |
Mirambo
Mirambo was a powerful 19th-century Nyamwezi warlord and trader in present-day Tanzania, known for building a strong kingdom and controlling key caravan trade routes.
|
E701073
|
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: Mirambo | Statement: [Nyamwezi people, notableLeader, Mirambo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mirambo Context triple: [Nyamwezi people, notableLeader, Mirambo]
-
A.
Murambi
Murambi is a residential suburb of Mutare, a major city in eastern Zimbabwe.
-
B.
Dja-et-Lobo
Dja-et-Lobo is a department in the South Region of Cameroon known for its largely forested landscape and low population density.
-
C.
Musanze
Musanze is a major town in northern Rwanda that serves as the primary gateway for tourists visiting Volcanoes National Park and its mountain gorillas.
-
D.
Mutasa
Mutasa is a town located in Zimbabwe’s eastern Manicaland Province, known for its rural communities and proximity to the Eastern Highlands.
-
E.
Oshikwanyama
Oshikwanyama is a Bantu language variety spoken primarily in northern Namibia and southern Angola, recognized as one of the major dialects of Oshiwambo.
- 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: Mirambo Triple: [Nyamwezi people, notableLeader, Mirambo]
Generated description
Mirambo was a powerful 19th-century Nyamwezi warlord and trader in present-day Tanzania, known for building a strong kingdom and controlling key caravan trade routes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mirambo Target entity description: Mirambo was a powerful 19th-century Nyamwezi warlord and trader in present-day Tanzania, known for building a strong kingdom and controlling key caravan trade routes.
-
A.
Murambi
Murambi is a residential suburb of Mutare, a major city in eastern Zimbabwe.
-
B.
Dja-et-Lobo
Dja-et-Lobo is a department in the South Region of Cameroon known for its largely forested landscape and low population density.
-
C.
Musanze
Musanze is a major town in northern Rwanda that serves as the primary gateway for tourists visiting Volcanoes National Park and its mountain gorillas.
-
D.
Mutasa
Mutasa is a town located in Zimbabwe’s eastern Manicaland Province, known for its rural communities and proximity to the Eastern Highlands.
-
E.
Oshikwanyama
Oshikwanyama is a Bantu language variety spoken primarily in northern Namibia and southern Angola, recognized as one of the major dialects of Oshiwambo.
- 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_69ca82894d9081908a832bfce71a4714 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb38464274819080f182b53783fa84 |
completed | March 31, 2026, 2:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5b5908a88190bc00f0d6dbde0b58 |
completed | March 31, 2026, 5:27 a.m. |
| NEDg | Description generation | batch_69cb762fda2c81908ed508e12cabb938 |
completed | March 31, 2026, 7:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cbbf706e888190bfd08d9d78945c49 |
completed | March 31, 2026, 12:34 p.m. |
Created at: March 30, 2026, 4:54 p.m.