Triple
T11115033
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Buduma |
E262864
|
entity |
| Predicate | language |
P15
|
FINISHED |
| Object | Buduma language |
E905187
|
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: Buduma language | Statement: [Buduma, language, Buduma language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Buduma language Context triple: [Buduma, language, Buduma language]
-
A.
Buduma language
chosen
The Buduma language is an Afro-Asiatic language spoken by the Buduma (Yedina) people around Lake Chad, particularly in Chad and Cameroon.
-
B.
Medumba language
Medumba is a Bantu-related Grassfields language spoken primarily by the Bamileke people in western Cameroon.
-
C.
Budong-Budong language
The Budong-Budong language is an Austronesian language spoken by a small community in West Sulawesi, Indonesia.
-
D.
Gbaya-Mbodomo language
The Gbaya-Mbodomo language is a Niger-Congo language spoken by the Gbaya people of Central Africa, particularly in parts of the Central African Republic and neighboring regions.
-
E.
Bembe language
The Bembe language is a Bantu language spoken primarily by the Bembe people in parts of the Democratic Republic of the Congo and neighboring regions of Central Africa.
- 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_69d6aa9b46cc8190b19f9f0cc45bf322 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d79aa7254c8190abce35696ad2be03 |
completed | April 9, 2026, 12:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e441cb16bc81908b5321506f655e38 |
completed | April 19, 2026, 2:45 a.m. |
Created at: April 8, 2026, 9:27 p.m.