Triple
T6561930
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kongo Central Province |
E153802
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object |
Mbanza-Ngungu
Mbanza-Ngungu is a town in western Democratic Republic of the Congo known as a regional commercial center and for its nearby Thysville Caves.
|
E602979
|
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: Mbanza-Ngungu | Statement: [Kongo Central Province, hasTown, Mbanza-Ngungu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mbanza-Ngungu Context triple: [Kongo Central Province, hasTown, Mbanza-Ngungu]
-
A.
Igunga
Igunga is a town and district in central Tanzania known for its agricultural activities, particularly cotton and livestock farming, within the Tabora Region.
-
B.
Nwangele
Nwangele is a local government area in Imo State, southeastern Nigeria, known for its predominantly Igbo population and agrarian communities.
-
C.
Oshikwanyama
Oshikwanyama is a Bantu language variety spoken primarily in northern Namibia and southern Angola, recognized as one of the major dialects of Oshiwambo.
-
D.
Mungaka
Mungaka is a Grassfields Bantu language spoken primarily in Cameroon, particularly associated with the Bamunka (Ndop) area.
-
E.
Mvangane
Mvangane is a town located in the South Region.
- 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: Mbanza-Ngungu Triple: [Kongo Central Province, hasTown, Mbanza-Ngungu]
Generated description
Mbanza-Ngungu is a town in western Democratic Republic of the Congo known as a regional commercial center and for its nearby Thysville Caves.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mbanza-Ngungu Target entity description: Mbanza-Ngungu is a town in western Democratic Republic of the Congo known as a regional commercial center and for its nearby Thysville Caves.
-
A.
Igunga
Igunga is a town and district in central Tanzania known for its agricultural activities, particularly cotton and livestock farming, within the Tabora Region.
-
B.
Nwangele
Nwangele is a local government area in Imo State, southeastern Nigeria, known for its predominantly Igbo population and agrarian communities.
-
C.
Oshikwanyama
Oshikwanyama is a Bantu language variety spoken primarily in northern Namibia and southern Angola, recognized as one of the major dialects of Oshiwambo.
-
D.
Mungaka
Mungaka is a Grassfields Bantu language spoken primarily in Cameroon, particularly associated with the Bamunka (Ndop) area.
-
E.
Mvangane
Mvangane is a town located in the South Region.
- 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_69c6880cb35881909b763eb0125236b9 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6ae38e94081908f964d130f9147d8 |
completed | March 27, 2026, 4:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6d55fa1bc81908f2929e835051532 |
completed | March 27, 2026, 7:07 p.m. |
| NEDg | Description generation | batch_69c6d676e43081909bf2a9cceff0b9b3 |
completed | March 27, 2026, 7:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6d843bad081909ebb887f32ea4195 |
completed | March 27, 2026, 7:19 p.m. |
Created at: March 27, 2026, 1:52 p.m.