Triple
T20659183
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mwenga Territory |
E507710
|
entity |
| Predicate | hasCapital |
P204
|
FINISHED |
| Object |
Mwenga
Mwenga is a town in the South Kivu province of the Democratic Republic of the Congo that serves as an administrative and commercial center for the surrounding region.
|
E1442781
|
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: Mwenga | Statement: [Mwenga Territory, hasCapital, Mwenga]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mwenga Context triple: [Mwenga Territory, hasCapital, Mwenga]
-
A.
Mbugwe
Mbugwe are an ethnic group in northern Tanzania known for their distinct Bantu language and cultural traditions.
-
B.
Lugazi
Lugazi is a town in central Uganda known for its sugar plantations and location along the Kampala–Jinja highway.
-
C.
Chang'ombe
Chang'ombe is a neighborhood in Dar es Salaam, Tanzania, known for its residential areas and educational institutions, including the University of Dar es Salaam’s constituent colleges.
-
D.
Mumbwa
Mumbwa is a town in central Zambia known as an agricultural and mining hub west of the capital, Lusaka.
-
E.
Kitwanga
Kitwanga is a small Gitxsan community in northwestern British Columbia, Canada, known for its rich Indigenous culture and historic totem poles.
- 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: Mwenga Triple: [Mwenga Territory, hasCapital, Mwenga]
Generated description
Mwenga is a town in the South Kivu province of the Democratic Republic of the Congo that serves as an administrative and commercial center for the surrounding region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mwenga Target entity description: Mwenga is a town in the South Kivu province of the Democratic Republic of the Congo that serves as an administrative and commercial center for the surrounding region.
-
A.
Mbugwe
Mbugwe are an ethnic group in northern Tanzania known for their distinct Bantu language and cultural traditions.
-
B.
Lugazi
Lugazi is a town in central Uganda known for its sugar plantations and location along the Kampala–Jinja highway.
-
C.
Chang'ombe
Chang'ombe is a neighborhood in Dar es Salaam, Tanzania, known for its residential areas and educational institutions, including the University of Dar es Salaam’s constituent colleges.
-
D.
Mumbwa
Mumbwa is a town in central Zambia known as an agricultural and mining hub west of the capital, Lusaka.
-
E.
Kitwanga
Kitwanga is a small Gitxsan community in northwestern British Columbia, Canada, known for its rich Indigenous culture and historic totem poles.
- 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_69e0b4bf58c081908e52a4500e03ff83 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6b2eff7a88190be0bdea227616e02 |
completed | April 20, 2026, 11:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08c59bcd4c8190925addae1e67c5b4 |
completed | May 16, 2026, 7:29 p.m. |
| NEDg | Description generation | batch_6a08c6b50ea8819083ff85b85b2b6082 |
completed | May 16, 2026, 7:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08c7bf78b48190936455734ecf055d |
completed | May 16, 2026, 7:38 p.m. |
Created at: April 16, 2026, 11:43 a.m.