Triple
T12916124
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ciluba |
E308987
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Tshiluba |
E54338
|
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: Tshiluba | Statement: [Ciluba, alsoKnownAs, Tshiluba]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tshiluba Context triple: [Ciluba, alsoKnownAs, Tshiluba]
-
A.
Tshiluba
chosen
Tshiluba is a Bantu language widely spoken in south-central Democratic Republic of the Congo, particularly in the Kasai region.
-
B.
Tshimanda
Tshimanda is a regional dialect of the Tshivenda language spoken by a specific community of Venda people in South Africa.
-
C.
Lubemba
Lubemba is the traditional kingdom and cultural heartland of the Bemba people in what is now northern Zambia.
-
D.
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.
-
E.
Luba
Luba is a coastal town and important port on the southern part of Bioko Island in Equatorial Guinea.
- 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_69d7bdf92b588190acdf2a2291ac4590 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d971a1e8088190af697629baecf59f |
completed | April 10, 2026, 9:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6c0e7e9fc8190ad065a587c6c45dd |
completed | May 3, 2026, 3:28 a.m. |
Created at: April 9, 2026, 5:41 p.m.