Triple
T11582616
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tumbuka |
E274665
|
entity |
| Predicate | alternativeName |
P39
|
FINISHED |
| Object |
Chitumbuka
Chitumbuka is a Bantu language spoken primarily by the Tumbuka people in parts of Malawi, Zambia, and Tanzania.
|
E934805
|
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: Chitumbuka | Statement: [Tumbuka, alternativeName, Chitumbuka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chitumbuka Context triple: [Tumbuka, alternativeName, Chitumbuka]
-
A.
Umzinto
Umzinto is a town in the KwaZulu-Natal province of South Africa, historically known for its sugar industry and diverse local community.
-
B.
Munukutuba
Munukutuba is a widely used Bantu lingua franca of the Republic of the Congo and surrounding regions, serving as a major language of trade and interethnic communication.
-
C.
Ningol Chakouba
Ningol Chakouba is a traditional Meitei festival in Manipur that celebrates and strengthens the bond between married daughters and their parental families through ceremonial feasting and reunion.
-
D.
Umbundu
Umbundu is a major Bantu language spoken primarily in central and southern Angola, especially by the Ovimbundu people.
-
E.
Quifangondo
Quifangondo is a locality in Angola notable as the site of a key battle during the Angolan Civil War.
- 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: Chitumbuka Triple: [Tumbuka, alternativeName, Chitumbuka]
Generated description
Chitumbuka is a Bantu language spoken primarily by the Tumbuka people in parts of Malawi, Zambia, and Tanzania.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Chitumbuka Target entity description: Chitumbuka is a Bantu language spoken primarily by the Tumbuka people in parts of Malawi, Zambia, and Tanzania.
-
A.
Umzinto
Umzinto is a town in the KwaZulu-Natal province of South Africa, historically known for its sugar industry and diverse local community.
-
B.
Munukutuba
Munukutuba is a widely used Bantu lingua franca of the Republic of the Congo and surrounding regions, serving as a major language of trade and interethnic communication.
-
C.
Ningol Chakouba
Ningol Chakouba is a traditional Meitei festival in Manipur that celebrates and strengthens the bond between married daughters and their parental families through ceremonial feasting and reunion.
-
D.
Umbundu
Umbundu is a major Bantu language spoken primarily in central and southern Angola, especially by the Ovimbundu people.
-
E.
Quifangondo
Quifangondo is a locality in Angola notable as the site of a key battle during the Angolan Civil War.
- 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_69d6aae6b14c81908dc5a74bad7591f9 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8904db5748190ae5f10ae86ccdf46 |
completed | April 10, 2026, 5:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e7142d442c8190a48372e0e17db517 |
completed | April 21, 2026, 6:07 a.m. |
| NEDg | Description generation | batch_69e720fb192881909c129f93c8b88f42 |
completed | April 21, 2026, 7:02 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e7233efb6c81909dbf1aef080f5598 |
completed | April 21, 2026, 7:11 a.m. |
Created at: April 8, 2026, 9:38 p.m.