Triple
T3222320
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kimbundu |
E67538
|
entity |
| Predicate | closelyRelatedTo |
P37
|
FINISHED |
| Object | Umbundu |
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: Umbundu | Statement: [Kimbundu, closelyRelatedTo, Umbundu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Umbundu Context triple: [Kimbundu, closelyRelatedTo, Umbundu]
-
A.
Umbundu
chosen
Umbundu is a major Bantu language spoken primarily in central and southern Angola, especially by the Ovimbundu people.
-
B.
Kikamba-Doondo
Kikamba-Doondo is a regional dialect of the Bantu language Kikongo, spoken by communities in parts of Central Africa.
-
C.
Igunga
Igunga is a town and district in central Tanzania known for its agricultural activities, particularly cotton and livestock farming, within the Tabora Region.
-
D.
Gambiri Kati
Gambiri Kati is an alternative name for the Tregami language, an Indo-Iranian language spoken in parts of eastern Afghanistan.
-
E.
Urambo
Urambo is a town and district headquarters in western Tanzania known historically for tobacco production and its location within the Tabora Region.
- 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_69adae196da8819086fdcf5d2b21a702 |
completed | March 8, 2026, 5:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b27726f76c819092a199ae07a7e688 |
completed | March 12, 2026, 8:19 a.m. |
Created at: March 8, 2026, 3:08 p.m.