Triple
T4784581
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Kivu Province |
E106444
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Masisi
Masisi is a town in the eastern Democratic Republic of the Congo, situated in the conflict-affected, mineral-rich highlands of North Kivu Province.
|
E472061
|
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: Masisi | Statement: [North Kivu Province, hasCity, Masisi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Masisi Context triple: [North Kivu Province, hasCity, Masisi]
-
A.
Silozi
Silozi is a Bantu language spoken primarily by the Lozi people of western Zambia and surrounding regions.
-
B.
Tshimanda
Tshimanda is a regional dialect of the Tshivenda language spoken by a specific community of Venda people in South Africa.
-
C.
Mutombo
Mutombo is a retired Congolese-American NBA Hall of Fame center renowned for his dominant shot-blocking, defensive prowess, and humanitarian work.
-
D.
Kisoro
Kisoro is a small town in southwestern Uganda known as a gateway to gorilla trekking and the nearby Bwindi Impenetrable and Mgahinga Gorilla National Parks.
-
E.
Tshiluba
Tshiluba is a Bantu language widely spoken in south-central Democratic Republic of the Congo, particularly in the Kasai 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: Masisi Triple: [North Kivu Province, hasCity, Masisi]
Generated description
Masisi is a town in the eastern Democratic Republic of the Congo, situated in the conflict-affected, mineral-rich highlands of North Kivu Province.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Masisi Target entity description: Masisi is a town in the eastern Democratic Republic of the Congo, situated in the conflict-affected, mineral-rich highlands of North Kivu Province.
-
A.
Silozi
Silozi is a Bantu language spoken primarily by the Lozi people of western Zambia and surrounding regions.
-
B.
Tshimanda
Tshimanda is a regional dialect of the Tshivenda language spoken by a specific community of Venda people in South Africa.
-
C.
Mutombo
Mutombo is a retired Congolese-American NBA Hall of Fame center renowned for his dominant shot-blocking, defensive prowess, and humanitarian work.
-
D.
Kisoro
Kisoro is a small town in southwestern Uganda known as a gateway to gorilla trekking and the nearby Bwindi Impenetrable and Mgahinga Gorilla National Parks.
-
E.
Tshiluba
Tshiluba is a Bantu language widely spoken in south-central Democratic Republic of the Congo, particularly in the Kasai 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_69bd43f4a9588190bf73e20bc27c03cc |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd65ae49ec81908f16248d22d1155f |
completed | March 20, 2026, 3:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be4d93f2cc8190acf96766d2c5a946 |
completed | March 21, 2026, 7:49 a.m. |
| NEDg | Description generation | batch_69be4e61a9a8819096e3c4ba7612de85 |
completed | March 21, 2026, 7:53 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be4f0d51ac819097636aaf2429f317 |
completed | March 21, 2026, 7:55 a.m. |
Created at: March 20, 2026, 1:22 p.m.