Triple
T12602947
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Luba languages |
E300902
|
entity |
| Predicate | ethnolinguisticGroup |
P3349
|
FINISHED |
| Object | Luba |
E492319
|
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 | Statement: [Luba languages, ethnolinguisticGroup, Luba]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Luba Context triple: [Luba languages, ethnolinguisticGroup, Luba]
-
A.
Luba
Luba is a coastal town and important port on the southern part of Bioko Island in Equatorial Guinea.
-
B.
Luba
chosen
The Luba are a major Bantu-speaking ethnic group of Central Africa, historically known for the powerful Luba Kingdom centered in what is now the Democratic Republic of the Congo.
-
C.
Lunda
Lunda is a Bantu language spoken primarily by the Lunda people in parts of Zambia, Angola, and the Democratic Republic of the Congo.
-
D.
Lubemba
Lubemba is the traditional kingdom and cultural heartland of the Bemba people in what is now northern Zambia.
-
E.
Mbanza Kongo
Mbanza Kongo is a historic city in northern Angola that served as the political and spiritual center of the precolonial Kingdom of Kongo and is now recognized as a UNESCO World Heritage Site.
- 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_69d7bdea2ca881908f379526c13b1145 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d954e6e20481908bca684c4b497c48 |
completed | April 10, 2026, 7:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f65ecb09e481909d688f174372dde7 |
completed | May 2, 2026, 8:30 p.m. |
Created at: April 9, 2026, 5:10 p.m.