Triple
T19660335
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lubero Territory |
E472062
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object |
Kirumba
Kirumba is a town located within Lubero Territory in North Kivu Province of the eastern Democratic Republic of the Congo.
|
E1388431
|
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: Kirumba | Statement: [Lubero Territory, containsSettlement, Kirumba]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kirumba Context triple: [Lubero Territory, containsSettlement, Kirumba]
-
A.
Mbamba
Mbamba is a settlement located on Likoma Island in Lake Malawi, known as one of the island’s small lakeside communities.
-
B.
Lubemba
Lubemba is the traditional kingdom and cultural heartland of the Bemba people in what is now northern Zambia.
-
C.
Kizombo
Kizombo is a regional dialect of the Kikongo language spoken by Bakongo communities in Central Africa.
-
D.
Ngbandi
Ngbandi is a Central African language spoken primarily in the Democratic Republic of the Congo and the Central African Republic, known for its role as a regional lingua franca and its inclusion in the Ubangian language family.
-
E.
Iramba
Iramba is a Bantu language spoken primarily in north-central Tanzania by the Iramba people.
- 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: Kirumba Triple: [Lubero Territory, containsSettlement, Kirumba]
Generated description
Kirumba is a town located within Lubero Territory in North Kivu Province of the eastern Democratic Republic of the Congo.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kirumba Target entity description: Kirumba is a town located within Lubero Territory in North Kivu Province of the eastern Democratic Republic of the Congo.
-
A.
Mbamba
Mbamba is a settlement located on Likoma Island in Lake Malawi, known as one of the island’s small lakeside communities.
-
B.
Lubemba
Lubemba is the traditional kingdom and cultural heartland of the Bemba people in what is now northern Zambia.
-
C.
Kizombo
Kizombo is a regional dialect of the Kikongo language spoken by Bakongo communities in Central Africa.
-
D.
Ngbandi
Ngbandi is a Central African language spoken primarily in the Democratic Republic of the Congo and the Central African Republic, known for its role as a regional lingua franca and its inclusion in the Ubangian language family.
-
E.
Iramba
Iramba is a Bantu language spoken primarily in north-central Tanzania by the Iramba people.
- 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_69d8e51395348190ac1416d46dfc6db0 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e6414993ac8190b6da3702b1924b24 |
completed | April 20, 2026, 3:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a077ef5e3108190b2f7f05a01f81fc1 |
completed | May 15, 2026, 8:15 p.m. |
| NEDg | Description generation | batch_6a07801618c88190a4073957960b36c6 |
completed | May 15, 2026, 8:20 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0780f798888190847de6b2951d879b |
completed | May 15, 2026, 8:24 p.m. |
Created at: April 10, 2026, 1:45 p.m.