Triple
T6472198
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ngoni |
E145980
|
entity |
| Predicate | alternateName |
P39
|
FINISHED |
| Object |
Chingoni
Chingoni is an alternative name for the Ngoni people, a Bantu-speaking ethnic group in southeastern Africa known for their historical migrations and military traditions.
|
E597892
|
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: Chingoni | Statement: [Ngoni, alternateName, Chingoni]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chingoni Context triple: [Ngoni, alternateName, Chingoni]
-
A.
Chikanga
Chikanga is a high-density residential suburb of Mutare, a major city in eastern Zimbabwe.
-
B.
Chamiti
Chamiti is the summit that forms the highest peak of Mount Vermio in northern Greece.
-
C.
Chambo
Chambo is a small town in central Ecuador known for its agricultural activities and proximity to the Andean highlands.
-
D.
Mungaka
Mungaka is a Grassfields Bantu language spoken primarily in Cameroon, particularly associated with the Bamunka (Ndop) area.
-
E.
Chivi
Chivi is a rural district and settlement in southern Zimbabwe known for its communal farming communities and semi-arid landscape within Masvingo Province.
- 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: Chingoni Triple: [Ngoni, alternateName, Chingoni]
Generated description
Chingoni is an alternative name for the Ngoni people, a Bantu-speaking ethnic group in southeastern Africa known for their historical migrations and military traditions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Chingoni Target entity description: Chingoni is an alternative name for the Ngoni people, a Bantu-speaking ethnic group in southeastern Africa known for their historical migrations and military traditions.
-
A.
Chikanga
Chikanga is a high-density residential suburb of Mutare, a major city in eastern Zimbabwe.
-
B.
Chamiti
Chamiti is the summit that forms the highest peak of Mount Vermio in northern Greece.
-
C.
Chambo
Chambo is a small town in central Ecuador known for its agricultural activities and proximity to the Andean highlands.
-
D.
Mungaka
Mungaka is a Grassfields Bantu language spoken primarily in Cameroon, particularly associated with the Bamunka (Ndop) area.
-
E.
Chivi
Chivi is a rural district and settlement in southern Zimbabwe known for its communal farming communities and semi-arid landscape within Masvingo Province.
- 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_69c008fec7408190af7b146dc63d9750 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c06a3188488190a1b7452ede91ba5e |
completed | March 22, 2026, 10:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c66382f9ac81908d9cb444ab596d04 |
completed | March 27, 2026, 11:01 a.m. |
| NEDg | Description generation | batch_69c6646fa43c819085338458113e5bf9 |
completed | March 27, 2026, 11:05 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c664d154dc81908d48056d272c56fa |
completed | March 27, 2026, 11:06 a.m. |
Created at: March 22, 2026, 4:50 p.m.