Triple
T3222315
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kimbundu |
E67538
|
entity |
| Predicate | alternateName |
P39
|
FINISHED |
| Object | Mbundu |
E71693
|
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: Mbundu | Statement: [Kimbundu, alternateName, Mbundu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mbundu Context triple: [Kimbundu, alternateName, Mbundu]
-
A.
Kibondo
Kibondo is a town in western Tanzania that serves as an administrative and commercial center in the Kigoma Region.
-
B.
Luba
Luba is a coastal town and important port on the southern part of Bioko Island in Equatorial Guinea.
-
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.
Umbundu
chosen
Umbundu is a major Bantu language spoken primarily in central and southern Angola, especially by the Ovimbundu people.
-
E.
Ndowe
Ndowe is a Bantu language spoken by the Ndowe people along the coastal region of 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_69ad858b8adc8190ad989712c87a476b |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adae1845408190b3eccd791231c69c |
completed | March 8, 2026, 5:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2624f74b8819086fd54d0cf326fe9 |
completed | March 12, 2026, 6:50 a.m. |
Created at: March 8, 2026, 3:08 p.m.