Triple
T7954669
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bantu H languages |
E184701
|
entity |
| Predicate | hasNotableLanguage |
P7390
|
FINISHED |
| Object | Luba-Kasai |
E300901
|
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: Luba-Kasai | Statement: [Bantu H languages, hasNotableLanguage, Luba-Kasai]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Luba-Kasai Context triple: [Bantu H languages, hasNotableLanguage, Luba-Kasai]
-
A.
Luba-Kasai
chosen
Luba-Kasai is a Bantu language spoken primarily in the Kasai region of the Democratic Republic of the Congo by the Luba people.
-
B.
Kongō
Kongō was a Japanese Kongō-class fast battleship that served prominently in the Imperial Japanese Navy during World War II.
-
C.
Middle Congo
Middle Congo was a former French colonial territory in Central Africa that later became the independent Republic of the Congo (Congo-Brazzaville).
-
D.
Lualaba River
The Lualaba River is the upper course of the Congo River in the Democratic Republic of the Congo, flowing through the southeast of the country and serving as a key waterway in Central Africa.
-
E.
Konongo
Konongo is a prominent mining and commercial town in central Ghana known historically for its gold deposits and later manganese production.
- 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_69ca8292cba881908a64427b938dac47 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3b5f74308190aa63a22c3d5feacc |
completed | March 31, 2026, 3:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cbe05d89a08190ae5bd4092d007442 |
completed | March 31, 2026, 2:55 p.m. |
Created at: March 30, 2026, 5:11 p.m.