Triple
T8880490
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lake Kivu |
E211397
|
entity |
| Predicate | borderCity |
P15361
|
FINISHED |
| Object | Cyangugu |
E767282
|
NE FINISHED |
How this triple was built (2 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: Cyangugu | Statement: [Lake Kivu, borderCity, Cyangugu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cyangugu Context triple: [Lake Kivu, borderCity, Cyangugu]
-
A.
Cyangugu
chosen
Cyangugu is a city in western Rwanda that serves as a key lakeside settlement and border crossing with the Democratic Republic of the Congo.
-
B.
Kazungula
Kazungula is a border town in southern Africa, strategically located near the Zambezi River where Botswana, Zambia, Zimbabwe, and Namibia meet, and known for its important regional transport links.
-
C.
Bitonga
Bitonga is a Bantu language spoken primarily by the Bitonga people in Mozambique’s Inhambane Province.
-
D.
Cinyanja
Cinyanja is a Bantu language spoken primarily in Malawi, Zambia, Mozambique, and Zimbabwe, where it serves as an important lingua franca in parts of southern Africa.
-
E.
Butiama
Butiama is a village in northern Tanzania best known as the birthplace and hometown of the country’s founding president, Julius Nyerere.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca838f9e20819096ab1f236a70381a |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc61677c9c8190aa09dc2a05d4cf95 |
completed | April 1, 2026, 12:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfc92c2f088190b953de2bfcbb5bb5 |
completed | April 3, 2026, 2:05 p.m. |
Created at: March 30, 2026, 6:52 p.m.